Merge pull request #89 from ibrahimkzmv/feat.mcp-tool-integration

feat: add connectMCPTools() to register MCP server tools as standard agent tools
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JackChen 2026-04-12 17:05:31 +08:00 committed by GitHub
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9 changed files with 1669 additions and 10 deletions

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@ -138,7 +138,7 @@ For MapReduce-style fan-out without task dependencies, use `AgentPool.runParalle
## Examples
15 runnable scripts in [`examples/`](./examples/). Start with these four:
16 runnable scripts in [`examples/`](./examples/). Start with these four:
- [02 — Team Collaboration](examples/02-team-collaboration.ts): `runTeam()` coordinator pattern.
- [06 — Local Model](examples/06-local-model.ts): Ollama and Claude in one pipeline via `baseURL`.
@ -248,6 +248,30 @@ const customAgent: AgentConfig = {
Tools added via `agent.addTool()` are always available regardless of filtering.
### MCP Tools (Model Context Protocol)
`open-multi-agent` can connect to any MCP server and expose its tools directly to agents.
```typescript
import { connectMCPTools } from '@jackchen_me/open-multi-agent/mcp'
const { tools, disconnect } = await connectMCPTools({
command: 'npx',
args: ['-y', '@modelcontextprotocol/server-github'],
env: { GITHUB_TOKEN: process.env.GITHUB_TOKEN },
namePrefix: 'github',
})
// Register each MCP tool in your ToolRegistry, then include their names in AgentConfig.tools
// Don't forget cleanup when done
await disconnect()
```
Notes:
- `@modelcontextprotocol/sdk` is an optional peer dependency, only needed when using MCP.
- Current transport support is stdio.
- MCP input validation is delegated to the MCP server (`inputSchema` is `z.any()`).
## Supported Providers
| Provider | Config | Env var | Status |

59
examples/16-mcp-github.ts Normal file
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@ -0,0 +1,59 @@
/**
* Example 16 MCP GitHub Tools
*
* Connect an MCP server over stdio and register all exposed MCP tools as
* standard open-multi-agent tools.
*
* Run:
* npx tsx examples/16-mcp-github.ts
*
* Prerequisites:
* - GEMINI_API_KEY
* - GITHUB_TOKEN
* - @modelcontextprotocol/sdk installed
*/
import { Agent, ToolExecutor, ToolRegistry, registerBuiltInTools } from '../src/index.js'
import { connectMCPTools } from '../src/mcp.js'
if (!process.env.GITHUB_TOKEN?.trim()) {
console.error('Missing GITHUB_TOKEN: set a GitHub personal access token in the environment.')
process.exit(1)
}
const { tools, disconnect } = await connectMCPTools({
command: 'npx',
args: ['-y', '@modelcontextprotocol/server-github'],
env: {
...process.env,
GITHUB_TOKEN: process.env.GITHUB_TOKEN,
},
namePrefix: 'github',
})
const registry = new ToolRegistry()
registerBuiltInTools(registry)
for (const tool of tools) registry.register(tool)
const executor = new ToolExecutor(registry)
const agent = new Agent(
{
name: 'github-agent',
model: 'gemini-2.5-flash',
provider: 'gemini',
tools: tools.map((tool) => tool.name),
systemPrompt: 'Use GitHub MCP tools to answer repository questions.',
},
registry,
executor,
)
try {
const result = await agent.run(
'List the last 3 open issues in JackChen-me/open-multi-agent with title and number.',
)
console.log(result.output)
} finally {
await disconnect()
}

1036
package-lock.json generated

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@ -14,6 +14,10 @@
".": {
"types": "./dist/index.d.ts",
"import": "./dist/index.js"
},
"./mcp": {
"types": "./dist/mcp.d.ts",
"import": "./dist/mcp.js"
}
},
"scripts": {
@ -48,15 +52,20 @@
"zod": "^3.23.0"
},
"peerDependencies": {
"@google/genai": "^1.48.0"
"@google/genai": "^1.48.0",
"@modelcontextprotocol/sdk": "^1.18.0"
},
"peerDependenciesMeta": {
"@google/genai": {
"optional": true
},
"@modelcontextprotocol/sdk": {
"optional": true
}
},
"devDependencies": {
"@google/genai": "^1.48.0",
"@modelcontextprotocol/sdk": "^1.18.0",
"@types/node": "^22.0.0",
"@vitest/coverage-v8": "^2.1.9",
"tsx": "^4.21.0",

5
src/mcp.ts Normal file
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@ -0,0 +1,5 @@
export type {
ConnectMCPToolsConfig,
ConnectedMCPTools,
} from './tool/mcp.js'
export { connectMCPTools } from './tool/mcp.js'

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@ -72,12 +72,19 @@ export function defineTool<TInput>(config: {
name: string
description: string
inputSchema: ZodSchema<TInput>
/**
* Optional JSON Schema for the LLM (bypasses Zod JSON Schema conversion).
*/
llmInputSchema?: Record<string, unknown>
execute: (input: TInput, context: ToolUseContext) => Promise<ToolResult>
}): ToolDefinition<TInput> {
return {
name: config.name,
description: config.description,
inputSchema: config.inputSchema,
...(config.llmInputSchema !== undefined
? { llmInputSchema: config.llmInputSchema }
: {}),
execute: config.execute,
}
}
@ -169,7 +176,8 @@ export class ToolRegistry {
*/
toToolDefs(): LLMToolDef[] {
return Array.from(this.tools.values()).map((tool) => {
const schema = zodToJsonSchema(tool.inputSchema)
const schema =
tool.llmInputSchema ?? zodToJsonSchema(tool.inputSchema)
return {
name: tool.name,
description: tool.description,
@ -194,13 +202,20 @@ export class ToolRegistry {
toLLMTools(): Array<{
name: string
description: string
input_schema: {
type: 'object'
properties: Record<string, JSONSchemaProperty>
required?: string[]
}
/** Anthropic-style tool input JSON Schema (`type` is usually `object`). */
input_schema: Record<string, unknown>
}> {
return Array.from(this.tools.values()).map((tool) => {
if (tool.llmInputSchema !== undefined) {
return {
name: tool.name,
description: tool.description,
input_schema: {
type: 'object' as const,
...(tool.llmInputSchema as Record<string, unknown>),
},
}
}
const schema = zodToJsonSchema(tool.inputSchema)
return {
name: tool.name,

296
src/tool/mcp.ts Normal file
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@ -0,0 +1,296 @@
import { z } from 'zod'
import { defineTool } from './framework.js'
import type { ToolDefinition } from '../types.js'
interface MCPToolDescriptor {
name: string
description?: string
/** MCP tool JSON Schema; same shape LLM APIs expect for object parameters. */
inputSchema?: Record<string, unknown>
}
interface MCPListToolsResponse {
tools?: MCPToolDescriptor[]
nextCursor?: string
}
interface MCPCallToolResponse {
content?: Array<Record<string, unknown>>
structuredContent?: unknown
isError?: boolean
toolResult?: unknown
}
interface MCPClientLike {
connect(transport: unknown, options?: { timeout?: number; signal?: AbortSignal }): Promise<void>
listTools(
params?: { cursor?: string },
options?: { timeout?: number; signal?: AbortSignal },
): Promise<MCPListToolsResponse>
callTool(
request: { name: string; arguments: Record<string, unknown> },
resultSchema?: unknown,
options?: { timeout?: number; signal?: AbortSignal },
): Promise<MCPCallToolResponse>
close?: () => Promise<void>
}
type MCPClientConstructor = new (
info: { name: string; version: string },
options: { capabilities: Record<string, unknown> },
) => MCPClientLike
type StdioTransportConstructor = new (config: {
command: string
args?: string[]
env?: Record<string, string | undefined>
cwd?: string
}) => { close?: () => Promise<void> }
interface MCPModules {
Client: MCPClientConstructor
StdioClientTransport: StdioTransportConstructor
}
const DEFAULT_MCP_REQUEST_TIMEOUT_MS = 60_000
async function loadMCPModules(): Promise<MCPModules> {
const [{ Client }, { StdioClientTransport }] = await Promise.all([
import('@modelcontextprotocol/sdk/client/index.js') as Promise<{
Client: MCPClientConstructor
}>,
import('@modelcontextprotocol/sdk/client/stdio.js') as Promise<{
StdioClientTransport: StdioTransportConstructor
}>,
])
return { Client, StdioClientTransport }
}
export interface ConnectMCPToolsConfig {
command: string
args?: string[]
env?: Record<string, string | undefined>
cwd?: string
/**
* Optional segment prepended to MCP tool names for the framework tool (and LLM) name.
* Example: prefix `github` + MCP tool `search_issues` `github_search_issues`.
*/
namePrefix?: string
/**
* Timeout (ms) for MCP connect and each `tools/list` page. Defaults to 60000.
*/
requestTimeoutMs?: number
/**
* Client metadata sent to the MCP server.
*/
clientName?: string
clientVersion?: string
}
export interface ConnectedMCPTools {
tools: ToolDefinition[]
disconnect: () => Promise<void>
}
/**
* Build an LLM-safe tool name: MCP and prior examples used `prefix/name`, but
* Anthropic and other providers reject `/` in tool names.
*/
function normalizeToolName(rawName: string, namePrefix?: string): string {
const trimmedPrefix = namePrefix?.trim()
const base =
trimmedPrefix !== undefined && trimmedPrefix !== ''
? `${trimmedPrefix}_${rawName}`
: rawName
return base.replace(/\//g, '_')
}
/** MCP `tools/list` JSON Schema; forwarded to the LLM as-is (runtime validation stays `z.any()`). */
function mcpLlmInputSchema(
schema: Record<string, unknown> | undefined,
): Record<string, unknown> {
if (schema !== undefined && typeof schema === 'object' && !Array.isArray(schema)) {
return schema
}
return { type: 'object' }
}
function contentBlockToText(block: Record<string, unknown>): string | undefined {
const typ = block.type
if (typ === 'text' && typeof block.text === 'string') {
return block.text
}
if (typ === 'image' && typeof block.data === 'string') {
const mime =
typeof block.mimeType === 'string' ? block.mimeType : 'image/*'
return `[image ${mime}; base64 length=${block.data.length}]`
}
if (typ === 'audio' && typeof block.data === 'string') {
const mime =
typeof block.mimeType === 'string' ? block.mimeType : 'audio/*'
return `[audio ${mime}; base64 length=${block.data.length}]`
}
if (
typ === 'resource' &&
block.resource !== null &&
typeof block.resource === 'object'
) {
const r = block.resource as Record<string, unknown>
const uri = typeof r.uri === 'string' ? r.uri : ''
if (typeof r.text === 'string') {
return `[resource ${uri}]\n${r.text}`
}
if (typeof r.blob === 'string') {
const mime = typeof r.mimeType === 'string' ? r.mimeType : ''
return `[resource ${uri}; mimeType=${mime}; blob base64 length=${r.blob.length}]`
}
return `[resource ${uri}]`
}
if (typ === 'resource_link') {
const uri = typeof block.uri === 'string' ? block.uri : ''
const name = typeof block.name === 'string' ? block.name : ''
const desc =
typeof block.description === 'string' ? block.description : ''
const head = `[resource_link name=${JSON.stringify(name)} uri=${JSON.stringify(uri)}]`
return desc === '' ? head : `${head}\n${desc}`
}
return undefined
}
function toToolResultData(result: MCPCallToolResponse): string {
if ('toolResult' in result && result.toolResult !== undefined) {
try {
return JSON.stringify(result.toolResult, null, 2)
} catch {
return String(result.toolResult)
}
}
const lines: string[] = []
for (const block of result.content ?? []) {
if (block === null || typeof block !== 'object') continue
const rec = block as Record<string, unknown>
const line = contentBlockToText(rec)
if (line !== undefined) {
lines.push(line)
continue
}
try {
lines.push(
`[${String(rec.type ?? 'unknown')}]\n${JSON.stringify(rec, null, 2)}`,
)
} catch {
lines.push('[mcp content block]')
}
}
if (lines.length > 0) {
return lines.join('\n')
}
if (result.structuredContent !== undefined) {
try {
return JSON.stringify(result.structuredContent, null, 2)
} catch {
return String(result.structuredContent)
}
}
try {
return JSON.stringify(result)
} catch {
return 'MCP tool completed with non-text output.'
}
}
async function listAllMcpTools(
client: MCPClientLike,
requestOpts: { timeout: number },
): Promise<MCPToolDescriptor[]> {
const acc: MCPToolDescriptor[] = []
let cursor: string | undefined
do {
const page = await client.listTools(
cursor !== undefined ? { cursor } : {},
requestOpts,
)
acc.push(...(page.tools ?? []))
cursor =
typeof page.nextCursor === 'string' && page.nextCursor !== ''
? page.nextCursor
: undefined
} while (cursor !== undefined)
return acc
}
/**
* Connect to an MCP server over stdio and convert exposed MCP tools into
* open-multi-agent ToolDefinitions.
*/
export async function connectMCPTools(
config: ConnectMCPToolsConfig,
): Promise<ConnectedMCPTools> {
const { Client, StdioClientTransport } = await loadMCPModules()
const transport = new StdioClientTransport({
command: config.command,
args: config.args ?? [],
env: config.env,
cwd: config.cwd,
})
const client = new Client(
{
name: config.clientName ?? 'open-multi-agent',
version: config.clientVersion ?? '0.0.0',
},
{ capabilities: {} },
)
const requestOpts = {
timeout: config.requestTimeoutMs ?? DEFAULT_MCP_REQUEST_TIMEOUT_MS,
}
await client.connect(transport, requestOpts)
const mcpTools = await listAllMcpTools(client, requestOpts)
const tools: ToolDefinition[] = mcpTools.map((tool) =>
defineTool({
name: normalizeToolName(tool.name, config.namePrefix),
description: tool.description ?? `MCP tool: ${tool.name}`,
inputSchema: z.any(),
llmInputSchema: mcpLlmInputSchema(tool.inputSchema),
execute: async (input: Record<string, unknown>) => {
try {
const result = await client.callTool(
{
name: tool.name,
arguments: input,
},
undefined,
requestOpts,
)
return {
data: toToolResultData(result),
isError: result.isError === true,
}
} catch (error) {
const message =
error instanceof Error ? error.message : String(error)
return {
data: `MCP tool "${tool.name}" failed: ${message}`,
isError: true,
}
}
},
}),
)
return {
tools,
disconnect: async () => {
await client.close?.()
},
}
}

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@ -182,12 +182,18 @@ export interface ToolResult {
* A tool registered with the framework.
*
* `inputSchema` is a Zod schema used for validation before `execute` is called.
* At API call time it is converted to JSON Schema via {@link LLMToolDef}.
* At API call time it is converted to JSON Schema for {@link LLMToolDef}, unless
* `llmInputSchema` is set (e.g. MCP tools ship JSON Schema from the server).
*/
export interface ToolDefinition<TInput = Record<string, unknown>> {
readonly name: string
readonly description: string
readonly inputSchema: ZodSchema<TInput>
/**
* When present, used as {@link LLMToolDef.inputSchema} as-is instead of
* deriving JSON Schema from `inputSchema` (Zod).
*/
readonly llmInputSchema?: Record<string, unknown>
execute(input: TInput, context: ToolUseContext): Promise<ToolResult>
}

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tests/mcp-tools.test.ts Normal file
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@ -0,0 +1,211 @@
import { describe, it, expect, beforeEach, vi } from 'vitest'
import type { ToolUseContext } from '../src/types.js'
import { ToolRegistry } from '../src/tool/framework.js'
const listToolsMock = vi.fn()
const callToolMock = vi.fn()
const connectMock = vi.fn()
const clientCloseMock = vi.fn()
const transportCloseMock = vi.fn()
class MockClient {
async connect(
transport: unknown,
_options?: { timeout?: number },
): Promise<void> {
connectMock(transport)
}
async listTools(
params?: { cursor?: string },
options?: { timeout?: number },
): Promise<{
tools: Array<{
name: string
description: string
inputSchema?: Record<string, unknown>
}>
nextCursor?: string
}> {
return listToolsMock(params, options)
}
async callTool(
request: { name: string; arguments: Record<string, unknown> },
resultSchema?: unknown,
options?: { timeout?: number },
): Promise<{
content?: Array<Record<string, unknown>>
structuredContent?: unknown
isError?: boolean
toolResult?: unknown
}> {
return callToolMock(request, resultSchema, options)
}
async close(): Promise<void> {
clientCloseMock()
}
}
class MockStdioTransport {
readonly config: unknown
constructor(config: unknown) {
this.config = config
}
async close(): Promise<void> {
transportCloseMock()
}
}
vi.mock('@modelcontextprotocol/sdk/client/index.js', () => ({
Client: MockClient,
}))
vi.mock('@modelcontextprotocol/sdk/client/stdio.js', () => ({
StdioClientTransport: MockStdioTransport,
}))
const context: ToolUseContext = {
agent: { name: 'test-agent', role: 'tester', model: 'test-model' },
}
beforeEach(() => {
vi.clearAllMocks()
})
describe('connectMCPTools', () => {
it('connects, discovers tools, and executes MCP calls', async () => {
listToolsMock.mockResolvedValue({
tools: [
{
name: 'search_issues',
description: 'Search repository issues.',
inputSchema: {
type: 'object',
properties: { q: { type: 'string' } },
required: ['q'],
},
},
],
})
callToolMock.mockResolvedValue({
content: [{ type: 'text', text: 'found 2 issues' }],
isError: false,
})
const { connectMCPTools } = await import('../src/tool/mcp.js')
const connected = await connectMCPTools({
command: 'npx',
args: ['-y', 'mock-mcp-server'],
env: { GITHUB_TOKEN: 'token' },
namePrefix: 'github',
})
expect(connectMock).toHaveBeenCalledTimes(1)
expect(connected.tools).toHaveLength(1)
expect(connected.tools[0].name).toBe('github_search_issues')
const registry = new ToolRegistry()
registry.register(connected.tools[0])
const defs = registry.toToolDefs()
expect(defs[0].inputSchema).toMatchObject({
type: 'object',
properties: { q: { type: 'string' } },
required: ['q'],
})
const result = await connected.tools[0].execute({ q: 'bug' }, context)
expect(callToolMock).toHaveBeenCalledWith(
{
name: 'search_issues',
arguments: { q: 'bug' },
},
undefined,
expect.objectContaining({ timeout: expect.any(Number) }),
)
expect(result.isError).toBe(false)
expect(result.data).toContain('found 2 issues')
await connected.disconnect()
expect(clientCloseMock).toHaveBeenCalledTimes(1)
expect(transportCloseMock).not.toHaveBeenCalled()
})
it('aggregates paginated listTools results', async () => {
listToolsMock.mockImplementation(
async (params?: { cursor?: string }) => {
if (params?.cursor === 'c1') {
return {
tools: [
{ name: 'b', description: 'B', inputSchema: { type: 'object' } },
],
}
}
return {
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.', inputSchema: {} }],
})
callToolMock.mockResolvedValue({
content: [{ type: 'text', text: 'permission denied' }],
isError: true,
})
const { connectMCPTools } = await import('../src/tool/mcp.js')
const connected = await connectMCPTools({
command: 'npx',
args: ['-y', 'mock-mcp-server'],
})
const result = await connected.tools[0].execute({}, context)
expect(result.isError).toBe(true)
expect(result.data).toContain('permission denied')
})
})