MCP Agent Server

Name: MCP Agent Server
Author: LeadBroaf

@LeadBroaf

MCP Agent Server について

Open-source, modular “brain” for AI employees. Integrates with n8n and workflow engines, features persistent agent memory, natural language interface, and feedback loops. SaaS-ready, extensible, and easy to deploy with Docker.

#mcp-agent-server #ai-employees #workflow-automation

基本情報

カテゴリ

AI とエージェント

ランタイム

node

トランスポート

stdio

公開者

LeadBroaf

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-agent-server": {
      "type": "http",
      "url": "http://localhost:4000"
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Agent Server?

MCP Agent Server is an open‑source, modular “brain” for AI employees/agents, designed to work seamlessly with n8n and other workflow engines. It enables users to create persistent agents with memory, feedback loops, and natural language interfaces.

How to use MCP Agent Server?

Clone the repository, copy any docs and memory folders, then build and run with docker-compose up --build. The server becomes available at http://localhost:4000. You need Node.js and Docker installed. After startup, register a user via POST /users/register, obtain an API key, and use that key to manage agents and memory endpoints.

Key features of MCP Agent Server

Open‑source modular “brain” for AI employees
Persistent, agent‑centric memory and feedback loops
Natural language instruction parsing and task orchestration
Easy deployment with Docker Compose
Opinionated design inspired by the “AI employee” metaphor
API‑based user and API key management

Use cases of MCP Agent Server

Building AI employees that learn from feedback and improve over time
Creating vertical solutions like “AI Analyst” or “AI Admin” with prebuilt skills
Integrating persistent agents into n8n workflows for automated task execution
Offering simple, non‑technical AI agent experiences for SMBs and individuals

FAQ from MCP Agent Server

How are agents authenticated?

All endpoints except /health, /users/register, and /users/login require an x-api-key header. API keys are managed per user through dedicated endpoints.

How do I manage users and API keys?

Use POST /users/register to create a user, POST /users/login to get an API key, and GET /users/me/api-keys, POST /users/me/api-keys, DELETE /users/me/api-keys/:id to list, create, or revoke keys.

What are the system requirements?

Node.js and Docker must be installed. The server runs via Docker Compose and listens on port 4000 by default.

How does agent memory work?

Memory and feedback are persistent and agent‑centric. Use POST /agents/:id/memory to add memory/feedback and GET /agents/:id/memory to retrieve it.

Is the MCP Agent Server open source?

Yes, the project is open source and available on GitHub.

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