MCP Agent Server

Name: MCP Agent Server
Author: LeadBroaf

@LeadBroaf

关于 MCP Agent Server

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

基本信息

分类

AI 与智能体

运行时

node

传输方式

stdio

发布者

LeadBroaf

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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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