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mcp-agent-server

by FlowMCP

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mcp-agent-server

Version: 2.0.0

MCP Server with agent-powered tools, mountable as Express middleware. Each tool starts an LLM Agent Loop that iteratively calls FlowMCP schema tools to solve problems.

Architecture

flowchart LR
    MC[MCP Client] -->|MCP Protocol| B[AgentToolsServer]
    A2A[A2A Client] -->|message/send| AD[A2A Adapter]
    AD -->|tools/call| B
    B --> C[ToolRegistry]
    C --> D[AgentLoop]
    D -->|OpenRouter| E[LLM]
    D -->|callTool| F[ToolClient]
    D -->|discover| G[A2A Discovery]
    F --> H[FlowMCP Schemas]
    H --> I[External APIs]

Related MCP server: Test MCP Feb4 MCP Server

Quickstart

git clone https://github.com/FlowMCP/mcp-agent-server.git
cd mcp-agent-server
npm i
import express from 'express'
import { AgentToolsServer } from 'mcp-agent-server'

const app = express()
app.use( express.json() )

const { mcp } = await AgentToolsServer.create( {
    name: 'My Agent Server',
    version: '1.0.0',
    routePath: '/mcp',
    llm: {
        baseURL: 'https://openrouter.ai/api',
        apiKey: process.env.OPENROUTER_API_KEY
    },
    tools: [
        {
            name: 'defi-research',
            description: 'Research DeFi protocols',
            inputSchema: {
                type: 'object',
                properties: {
                    query: { type: 'string' }
                },
                required: [ 'query' ]
            },
            agent: {
                systemPrompt: 'You are a DeFi research agent.',
                model: 'anthropic/claude-sonnet-4-6',
                maxRounds: 10,
                maxTokens: 4096
            },
            toolSources: [
                {
                    type: 'flowmcp',
                    schemas: [ defilamaSchema, coingeckoSchema ],
                    serverParams: { DEFILAMA_KEY: process.env.DEFILAMA_KEY }
                }
            ],
            execution: {
                taskSupport: 'optional'
            }
        }
    ]
} )

app.use( mcp.middleware() )
app.listen( 4100 )

Features

  • MCP Server with StreamableHTTP transport (session-based)

  • LLM Agent Loop with iterative tool calling via Anthropic SDK

  • FlowMCP schemas as tool sources (in-process, no external server needed)

  • A2A Adapter — optional Agent-to-Agent protocol support (@a2a-js/sdk)

  • A2A Discovery — built-in tool to discover other A2A agents

  • Agent Card — auto-generated from manifest at /.well-known/agent.json

  • Configurable answer schema per tool

  • MCP Tasks API for async tool execution

  • Composable with x402-mcp-middleware for payment gating

  • Multiple tool sources per tool via CompositeToolClient

Table of Contents

Methods

AgentToolsServer.create()

Creates a new MCP server instance from configuration.

Method

AgentToolsServer.create( { name, version, routePath, llm, tools, tasks } )

Key

Type

Description

Required

name

string

Server name for MCP handshake

Yes

version

string

Server version

Yes

routePath

string

Express route path. Default '/mcp'

No

llm

object

LLM config { baseURL, apiKey }

Yes

tools

array

Array of tool configurations

Yes

tasks

object

Task store config { store }. Default InMemoryTaskStore

No

Returns

// AgentToolsServer instance
const { mcp } = await AgentToolsServer.create( { /* config */ } )

AgentToolsServer.fromManifest()

Creates a server from a FlowMCP v3.0.0 agent manifest.

Method

AgentToolsServer.fromManifest( { manifest, llm, schemas, serverParams, routePath } )

Key

Type

Description

Required

manifest

object

Agent manifest (export const agent from agent.mjs)

Yes

llm

object

LLM config { baseURL, apiKey }

Yes

schemas

array

FlowMCP schema objects for the agent's tools

No

serverParams

object

API keys for schemas

No

routePath

string

Express route path. Default '/mcp'

No

Example

import { agent } from './agent.mjs'

const { mcp } = await AgentToolsServer.fromManifest( {
    manifest: agent,
    llm: {
        baseURL: 'https://openrouter.ai/api',
        apiKey: process.env.OPENROUTER_API_KEY
    },
    schemas: [ etherscanSchema, defilamaSchema ],
    serverParams: { ETHERSCAN_API_KEY: process.env.ETHERSCAN_API_KEY }
} )

.middleware()

Returns an Express middleware function that handles MCP protocol requests (POST/GET/DELETE) on the configured route path.

Method

mcp.middleware()

Returns

// Express middleware function (req, res, next) => Promise<void>
app.use( mcp.middleware() )

.listToolDefinitions()

Returns all registered tools in MCP ListTools format.

Method

mcp.listToolDefinitions()

Returns

const { tools } = mcp.listToolDefinitions()
// tools: [ { name, description, inputSchema, execution? } ]

Key

Type

Description

tools

array

Array of tool definitions in MCP format

Tool Configuration

Each tool in the tools array has the following structure:

Key

Type

Description

Required

name

string

Tool name (used in MCP protocol)

Yes

description

string

Tool description

Yes

inputSchema

object

JSON Schema for tool input

Yes

agent

object

Agent configuration (see below)

Yes

toolSources

array

Array of tool source configs (see below)

Yes

execution

object

{ taskSupport: 'optional' | 'required' }

No

Agent Configuration

Key

Type

Description

Required

systemPrompt

string

System prompt for the LLM

Yes

model

string

LLM model ID (e.g. 'anthropic/claude-sonnet-4-6')

Yes

maxRounds

number

Maximum agent iterations. Default 10

No

maxTokens

number

Max completion tokens. Default 4096

No

answerSchema

object

Custom JSON Schema for submit_answer tool

No

Tool Sources

Each entry in toolSources defines where the agent gets its tools from:

Key

Type

Description

Required

type

string

Source type. Currently 'flowmcp'

Yes

schemas

array

FlowMCP schema objects

Yes

serverParams

object

Environment variables / API keys for schemas

No

A2A Adapter

Optional Agent-to-Agent protocol support. Import separately:

import { AgentToolsServer } from 'mcp-agent-server'
import { A2AAdapter } from 'mcp-agent-server/a2a'

const { mcp } = await AgentToolsServer.fromManifest( { manifest, llm: { ... } } )

app.use( mcp.middleware() )

// A2A (optional)
const a2a = A2AAdapter.from( { mcp, manifest, serverUrl: 'https://my-agent.com' } )
app.use( '/.well-known/agent.json', a2a.agentCardMiddleware() )
app.use( '/a2a/v1', a2a.handler() )

This exposes three endpoints:

Endpoint

Protocol

Purpose

POST /mcp

MCP

Tool calls from MCP clients (Claude Desktop, Cursor)

GET /.well-known/agent.json

A2A

Agent discovery (Agent Card)

POST /a2a/v1

A2A

Agent-to-agent communication (message/send)

The A2A adapter translates message/send into MCP tools/call — no separate agent loop.

A2A Discovery

The agent loop includes an optional discover_agent tool that fetches Agent Cards from other A2A agents:

const { mcp } = await AgentToolsServer.fromManifest( {
    manifest,
    llm: { ... },
    discovery: true    // Enables discover_agent tool
} )

Composition with x402

No code coupling. Pure Express middleware ordering:

import express from 'express'
import { X402Middleware } from 'x402-mcp-middleware/v2'
import { AgentToolsServer } from 'mcp-agent-server'

const app = express()
app.use( express.json() )

// 1. Payment gate (optional)
const x402 = await X402Middleware.create( { /* config */ } )
app.use( x402.mcp() )

// 2. Agent MCP Server
const { mcp } = await AgentToolsServer.create( { /* config */ } )
app.use( mcp.middleware() )

app.listen( 4100 )

Documentation

Full FlowMCP documentation at flowmcp.github.io. See the Agent Server page for integration guides.

License

MIT

Contributing

PRs are welcome. Please open an issue first to discuss proposed changes.

A
license - permissive license
-
quality - not tested
-
maintenance - not tested

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