feat: update MCP GitHub example and added llmInputSchema
This commit is contained in:
parent
7aa1bb7b5d
commit
12dd802ad8
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@ -8,7 +8,7 @@
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* npx tsx examples/16-mcp-github.ts
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*
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* Prerequisites:
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* - ANTHROPIC_API_KEY
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* - GEMINI_API_KEY
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* - GITHUB_TOKEN
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* - @modelcontextprotocol/sdk installed
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*/
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@ -16,6 +16,11 @@
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import { Agent, ToolExecutor, ToolRegistry, registerBuiltInTools } from '../src/index.js'
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import { connectMCPTools } from '../src/mcp.js'
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if (!process.env.GITHUB_TOKEN?.trim()) {
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console.error('Missing GITHUB_TOKEN: set a GitHub personal access token in the environment.')
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process.exit(1)
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}
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const { tools, disconnect } = await connectMCPTools({
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command: 'npx',
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args: ['-y', '@modelcontextprotocol/server-github'],
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@ -34,7 +39,8 @@ const executor = new ToolExecutor(registry)
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const agent = new Agent(
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{
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name: 'github-agent',
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model: 'claude-sonnet-4-6',
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model: 'gemini-2.5-flash',
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provider: 'gemini',
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tools: tools.map((tool) => tool.name),
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systemPrompt: 'Use GitHub MCP tools to answer repository questions.',
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},
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@ -72,12 +72,19 @@ export function defineTool<TInput>(config: {
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name: string
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description: string
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inputSchema: ZodSchema<TInput>
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/**
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* Optional JSON Schema for the LLM (bypasses Zod → JSON Schema conversion).
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*/
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llmInputSchema?: Record<string, unknown>
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execute: (input: TInput, context: ToolUseContext) => Promise<ToolResult>
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}): ToolDefinition<TInput> {
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return {
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name: config.name,
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description: config.description,
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inputSchema: config.inputSchema,
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...(config.llmInputSchema !== undefined
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? { llmInputSchema: config.llmInputSchema }
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: {}),
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execute: config.execute,
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}
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}
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@ -169,7 +176,8 @@ export class ToolRegistry {
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*/
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toToolDefs(): LLMToolDef[] {
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return Array.from(this.tools.values()).map((tool) => {
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const schema = zodToJsonSchema(tool.inputSchema)
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const schema =
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tool.llmInputSchema ?? zodToJsonSchema(tool.inputSchema)
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return {
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name: tool.name,
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description: tool.description,
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@ -194,13 +202,20 @@ export class ToolRegistry {
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toLLMTools(): Array<{
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name: string
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description: string
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input_schema: {
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type: 'object'
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properties: Record<string, JSONSchemaProperty>
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required?: string[]
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}
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/** Anthropic-style tool input JSON Schema (`type` is usually `object`). */
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input_schema: Record<string, unknown>
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}> {
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return Array.from(this.tools.values()).map((tool) => {
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if (tool.llmInputSchema !== undefined) {
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return {
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name: tool.name,
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description: tool.description,
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input_schema: {
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type: 'object' as const,
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...(tool.llmInputSchema as Record<string, unknown>),
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},
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}
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}
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const schema = zodToJsonSchema(tool.inputSchema)
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return {
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name: tool.name,
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165
src/tool/mcp.ts
165
src/tool/mcp.ts
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@ -5,22 +5,33 @@ import type { ToolDefinition } from '../types.js'
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interface MCPToolDescriptor {
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name: string
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description?: string
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/** MCP tool JSON Schema; same shape LLM APIs expect for object parameters. */
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inputSchema?: Record<string, unknown>
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}
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interface MCPListToolsResponse {
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tools?: MCPToolDescriptor[]
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nextCursor?: string
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}
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interface MCPCallToolResponse {
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content?: Array<{ type?: string; text?: string }>
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content?: Array<Record<string, unknown>>
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structuredContent?: unknown
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isError?: boolean
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toolResult?: unknown
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}
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interface MCPClientLike {
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connect(transport: unknown): Promise<void>
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listTools(): Promise<MCPListToolsResponse>
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callTool(request: { name: string; arguments: Record<string, unknown> }): Promise<MCPCallToolResponse>
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connect(transport: unknown, options?: { timeout?: number; signal?: AbortSignal }): Promise<void>
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listTools(
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params?: { cursor?: string },
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options?: { timeout?: number; signal?: AbortSignal },
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): Promise<MCPListToolsResponse>
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callTool(
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request: { name: string; arguments: Record<string, unknown> },
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resultSchema?: unknown,
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options?: { timeout?: number; signal?: AbortSignal },
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): Promise<MCPCallToolResponse>
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close?: () => Promise<void>
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}
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@ -41,6 +52,8 @@ interface MCPModules {
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StdioClientTransport: StdioTransportConstructor
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}
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const DEFAULT_MCP_REQUEST_TIMEOUT_MS = 60_000
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async function loadMCPModules(): Promise<MCPModules> {
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const [{ Client }, { StdioClientTransport }] = await Promise.all([
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import('@modelcontextprotocol/sdk/client/index.js') as Promise<{
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@ -59,10 +72,14 @@ export interface ConnectMCPToolsConfig {
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env?: Record<string, string | undefined>
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cwd?: string
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/**
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* Optional prefix used when generating framework tool names.
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* Example: "github" -> "github/search_issues"
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* Optional segment prepended to MCP tool names for the framework tool (and LLM) name.
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* Example: prefix `github` + MCP tool `search_issues` → `github_search_issues`.
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*/
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namePrefix?: string
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/**
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* Timeout (ms) for MCP connect and each `tools/list` page. Defaults to 60000.
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*/
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requestTimeoutMs?: number
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/**
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* Client metadata sent to the MCP server.
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*/
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@ -75,20 +92,100 @@ export interface ConnectedMCPTools {
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disconnect: () => Promise<void>
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}
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/**
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* Build an LLM-safe tool name: MCP and prior examples used `prefix/name`, but
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* Anthropic and other providers reject `/` in tool names.
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*/
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function normalizeToolName(rawName: string, namePrefix?: string): string {
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if (namePrefix === undefined || namePrefix.trim() === '') {
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return rawName
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const trimmedPrefix = namePrefix?.trim()
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const base =
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trimmedPrefix !== undefined && trimmedPrefix !== ''
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? `${trimmedPrefix}_${rawName}`
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: rawName
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return base.replace(/\//g, '_')
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}
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/** MCP `tools/list` JSON Schema; forwarded to the LLM as-is (runtime validation stays `z.any()`). */
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function mcpLlmInputSchema(
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schema: Record<string, unknown> | undefined,
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): Record<string, unknown> {
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if (schema !== undefined && typeof schema === 'object' && !Array.isArray(schema)) {
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return schema
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}
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return `${namePrefix}/${rawName}`
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return { type: 'object' }
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}
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function contentBlockToText(block: Record<string, unknown>): string | undefined {
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const typ = block.type
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if (typ === 'text' && typeof block.text === 'string') {
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return block.text
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}
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if (typ === 'image' && typeof block.data === 'string') {
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const mime =
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typeof block.mimeType === 'string' ? block.mimeType : 'image/*'
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return `[image ${mime}; base64 length=${block.data.length}]`
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}
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if (typ === 'audio' && typeof block.data === 'string') {
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const mime =
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typeof block.mimeType === 'string' ? block.mimeType : 'audio/*'
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return `[audio ${mime}; base64 length=${block.data.length}]`
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}
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if (
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typ === 'resource' &&
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block.resource !== null &&
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typeof block.resource === 'object'
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) {
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const r = block.resource as Record<string, unknown>
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const uri = typeof r.uri === 'string' ? r.uri : ''
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if (typeof r.text === 'string') {
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return `[resource ${uri}]\n${r.text}`
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}
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if (typeof r.blob === 'string') {
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const mime = typeof r.mimeType === 'string' ? r.mimeType : ''
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return `[resource ${uri}; mimeType=${mime}; blob base64 length=${r.blob.length}]`
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}
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return `[resource ${uri}]`
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}
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if (typ === 'resource_link') {
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const uri = typeof block.uri === 'string' ? block.uri : ''
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const name = typeof block.name === 'string' ? block.name : ''
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const desc =
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typeof block.description === 'string' ? block.description : ''
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const head = `[resource_link name=${JSON.stringify(name)} uri=${JSON.stringify(uri)}]`
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return desc === '' ? head : `${head}\n${desc}`
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}
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return undefined
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}
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function toToolResultData(result: MCPCallToolResponse): string {
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const textBlocks = (result.content ?? [])
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.filter((block) => block.type === 'text' && typeof block.text === 'string')
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.map((block) => block.text as string)
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if ('toolResult' in result && result.toolResult !== undefined) {
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try {
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return JSON.stringify(result.toolResult, null, 2)
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} catch {
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return String(result.toolResult)
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}
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}
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if (textBlocks.length > 0) {
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return textBlocks.join('\n')
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const lines: string[] = []
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for (const block of result.content ?? []) {
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if (block === null || typeof block !== 'object') continue
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const rec = block as Record<string, unknown>
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const line = contentBlockToText(rec)
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if (line !== undefined) {
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lines.push(line)
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continue
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}
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try {
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lines.push(
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`[${String(rec.type ?? 'unknown')}]\n${JSON.stringify(rec, null, 2)}`,
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)
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} catch {
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lines.push('[mcp content block]')
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}
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}
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if (lines.length > 0) {
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return lines.join('\n')
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}
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if (result.structuredContent !== undefined) {
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@ -106,6 +203,26 @@ function toToolResultData(result: MCPCallToolResponse): string {
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}
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}
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async function listAllMcpTools(
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client: MCPClientLike,
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requestOpts: { timeout: number },
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): Promise<MCPToolDescriptor[]> {
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const acc: MCPToolDescriptor[] = []
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let cursor: string | undefined
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do {
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const page = await client.listTools(
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cursor !== undefined ? { cursor } : {},
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requestOpts,
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)
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acc.push(...(page.tools ?? []))
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cursor =
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typeof page.nextCursor === 'string' && page.nextCursor !== ''
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? page.nextCursor
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: undefined
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} while (cursor !== undefined)
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return acc
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}
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/**
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* Connect to an MCP server over stdio and convert exposed MCP tools into
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* open-multi-agent ToolDefinitions.
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@ -130,23 +247,30 @@ export async function connectMCPTools(
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{ capabilities: {} },
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)
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await client.connect(transport)
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const requestOpts = {
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timeout: config.requestTimeoutMs ?? DEFAULT_MCP_REQUEST_TIMEOUT_MS,
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}
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const listed = await client.listTools()
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const mcpTools = listed.tools ?? []
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await client.connect(transport, requestOpts)
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const mcpTools = await listAllMcpTools(client, requestOpts)
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const tools: ToolDefinition[] = mcpTools.map((tool) =>
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defineTool({
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name: normalizeToolName(tool.name, config.namePrefix),
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description: tool.description ?? `MCP tool: ${tool.name}`,
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// MCP servers validate arguments internally.
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inputSchema: z.any(),
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llmInputSchema: mcpLlmInputSchema(tool.inputSchema),
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execute: async (input: Record<string, unknown>) => {
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try {
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const result = await client.callTool({
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const result = await client.callTool(
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{
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name: tool.name,
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arguments: input,
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})
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},
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undefined,
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requestOpts,
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)
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return {
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data: toToolResultData(result),
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isError: result.isError === true,
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@ -167,7 +291,6 @@ export async function connectMCPTools(
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tools,
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disconnect: async () => {
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await client.close?.()
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await transport.close?.()
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},
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}
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}
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@ -170,12 +170,18 @@ export interface ToolResult {
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* A tool registered with the framework.
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*
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* `inputSchema` is a Zod schema used for validation before `execute` is called.
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* At API call time it is converted to JSON Schema via {@link LLMToolDef}.
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* At API call time it is converted to JSON Schema for {@link LLMToolDef}, unless
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* `llmInputSchema` is set (e.g. MCP tools ship JSON Schema from the server).
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*/
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export interface ToolDefinition<TInput = Record<string, unknown>> {
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readonly name: string
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readonly description: string
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readonly inputSchema: ZodSchema<TInput>
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/**
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* When present, used as {@link LLMToolDef.inputSchema} as-is instead of
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* deriving JSON Schema from `inputSchema` (Zod).
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*/
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readonly llmInputSchema?: Record<string, unknown>
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execute(input: TInput, context: ToolUseContext): Promise<ToolResult>
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}
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@ -1,5 +1,6 @@
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import { describe, it, expect, beforeEach, vi } from 'vitest'
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import type { ToolUseContext } from '../src/types.js'
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import { ToolRegistry } from '../src/tool/framework.js'
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const listToolsMock = vi.fn()
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const callToolMock = vi.fn()
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@ -8,20 +9,38 @@ const clientCloseMock = vi.fn()
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const transportCloseMock = vi.fn()
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class MockClient {
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async connect(transport: unknown): Promise<void> {
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async connect(
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transport: unknown,
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_options?: { timeout?: number },
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): Promise<void> {
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connectMock(transport)
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}
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async listTools(): Promise<{ tools: Array<{ name: string; description: string }> }> {
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return listToolsMock()
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async listTools(
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params?: { cursor?: string },
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options?: { timeout?: number },
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): Promise<{
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tools: Array<{
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name: string
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description: string
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inputSchema?: Record<string, unknown>
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}>
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nextCursor?: string
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}> {
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return listToolsMock(params, options)
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}
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async callTool(request: { name: string; arguments: Record<string, unknown> }): Promise<{
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content?: Array<{ type: string; text: string }>
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async callTool(
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request: { name: string; arguments: Record<string, unknown> },
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resultSchema?: unknown,
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options?: { timeout?: number },
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): Promise<{
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content?: Array<Record<string, unknown>>
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structuredContent?: unknown
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isError?: boolean
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toolResult?: unknown
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}> {
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return callToolMock(request)
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return callToolMock(request, resultSchema, options)
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}
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async close(): Promise<void> {
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@ -60,7 +79,17 @@ beforeEach(() => {
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describe('connectMCPTools', () => {
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it('connects, discovers tools, and executes MCP calls', async () => {
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listToolsMock.mockResolvedValue({
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tools: [{ name: 'search_issues', description: 'Search repository issues.' }],
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tools: [
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{
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name: 'search_issues',
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description: 'Search repository issues.',
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inputSchema: {
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type: 'object',
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properties: { q: { type: 'string' } },
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required: ['q'],
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},
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},
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],
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})
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callToolMock.mockResolvedValue({
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content: [{ type: 'text', text: 'found 2 issues' }],
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@ -77,24 +106,92 @@ describe('connectMCPTools', () => {
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expect(connectMock).toHaveBeenCalledTimes(1)
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expect(connected.tools).toHaveLength(1)
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expect(connected.tools[0].name).toBe('github/search_issues')
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expect(connected.tools[0].name).toBe('github_search_issues')
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const registry = new ToolRegistry()
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registry.register(connected.tools[0])
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const defs = registry.toToolDefs()
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expect(defs[0].inputSchema).toMatchObject({
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type: 'object',
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properties: { q: { type: 'string' } },
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required: ['q'],
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})
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const result = await connected.tools[0].execute({ q: 'bug' }, context)
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expect(callToolMock).toHaveBeenCalledWith({
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expect(callToolMock).toHaveBeenCalledWith(
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{
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name: 'search_issues',
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arguments: { q: 'bug' },
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})
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},
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undefined,
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expect.objectContaining({ timeout: expect.any(Number) }),
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)
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expect(result.isError).toBe(false)
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expect(result.data).toContain('found 2 issues')
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await connected.disconnect()
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expect(clientCloseMock).toHaveBeenCalledTimes(1)
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expect(transportCloseMock).toHaveBeenCalledTimes(1)
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expect(transportCloseMock).not.toHaveBeenCalled()
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})
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it('aggregates paginated listTools results', async () => {
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listToolsMock.mockImplementation(
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async (params?: { cursor?: string }) => {
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if (params?.cursor === 'c1') {
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return {
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tools: [
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{ name: 'b', description: 'B', inputSchema: { type: 'object' } },
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],
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}
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}
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return {
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tools: [
|
||||
{ name: 'a', description: 'A', inputSchema: { type: 'object' } },
|
||||
],
|
||||
nextCursor: 'c1',
|
||||
}
|
||||
},
|
||||
)
|
||||
|
||||
callToolMock.mockResolvedValue({ content: [{ type: 'text', text: 'ok' }] })
|
||||
|
||||
const { connectMCPTools } = await import('../src/tool/mcp.js')
|
||||
const connected = await connectMCPTools({
|
||||
command: 'npx',
|
||||
args: ['-y', 'mock-mcp-server'],
|
||||
})
|
||||
|
||||
expect(listToolsMock).toHaveBeenCalledTimes(2)
|
||||
expect(listToolsMock.mock.calls[1][0]).toEqual({ cursor: 'c1' })
|
||||
expect(connected.tools).toHaveLength(2)
|
||||
expect(connected.tools.map((t) => t.name)).toEqual(['a', 'b'])
|
||||
})
|
||||
|
||||
it('serializes non-text MCP content blocks', async () => {
|
||||
listToolsMock.mockResolvedValue({
|
||||
tools: [{ name: 'pic', description: 'Pic', inputSchema: { type: 'object' } }],
|
||||
})
|
||||
callToolMock.mockResolvedValue({
|
||||
content: [
|
||||
{
|
||||
type: 'image',
|
||||
data: 'AAA',
|
||||
mimeType: 'image/png',
|
||||
},
|
||||
],
|
||||
isError: false,
|
||||
})
|
||||
|
||||
const { connectMCPTools } = await import('../src/tool/mcp.js')
|
||||
const connected = await connectMCPTools({ command: 'npx', args: ['x'] })
|
||||
const result = await connected.tools[0].execute({}, context)
|
||||
expect(result.data).toContain('image')
|
||||
expect(result.data).toContain('base64 length=3')
|
||||
})
|
||||
|
||||
it('marks tool result as error when MCP returns isError', async () => {
|
||||
listToolsMock.mockResolvedValue({
|
||||
tools: [{ name: 'danger', description: 'Dangerous op.' }],
|
||||
tools: [{ name: 'danger', description: 'Dangerous op.', inputSchema: {} }],
|
||||
})
|
||||
callToolMock.mockResolvedValue({
|
||||
content: [{ type: 'text', text: 'permission denied' }],
|
||||
|
|
|
|||
Loading…
Reference in New Issue