Test

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]

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

• Quickstart
• Architecture
• Methods
  • AgentToolsServer.create()
  • AgentToolsServer.fromManifest()
  • .middleware()
  • .listToolDefinitions()
• A2A Adapter
• Tool Configuration
• Composition with x402
• License

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.