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MCP Server + n8n

@cursesai

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

cursesai

关于 MCP Server + n8n

暂无概览

#mcp-server#n8n#automation

MCP Server + n8n 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP Server + n8n 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 Server + n8n?

This application combines the n8n workflow automation platform with an MCP Server using Docker to create an environment for experimentation. It allows users to test MCP Server features through the visual interface of n8n. The project is intended for educational and experimental purposes.

How to use MCP Server + n8n?

Install Docker and Docker Compose, then clone the repository and run docker-compose up -d. Access n8n at http://localhost:5678, create an account, and build a workflow. Add an AI Agent node, configure a Chat Model (e.g., OpenAI or Anthropic), set up a Simple Memory, and attach an MCP Client Tool with the SSE endpoint http://mcp_server:8000/sse. Finally, test the tools by opening the chat and sending commands like ping or acho eu.

Key features of MCP Server + n8n

  • Docker-based setup for quick installation and configuration.
  • Visual integration of n8n workflows with MCP Server tools.
  • Persistent data storage in n8n_data and mcp_server directories.
  • Pre‑defined MCP tools: ping and echo.
  • Support for multiple LLM providers (OpenAI, Anthropic).
  • Ability to modify the MCP server code in server.py.

Use cases of MCP Server + n8n

  • Experimenting with the MCP protocol in a visual workflow environment.
  • Learning how to connect AI agents to external tools via MCP.
  • Prototyping and testing custom MCP tools.
  • Automating tasks that call MCP tools through n8n workflows.
  • Demonstrating MCP capabilities in educational settings.

常见问题

1

What are the dependencies for MCP Server + n8n?

Docker and Docker Compose are required. On Windows, Docker Desktop and Git are needed; on Linux, `docker.io`, `docker-compose`, and `docker-buildx`.

2

Where does MCP Server + n8n store data?

Data is kept in persistent directories: `n8n_data` holds workflows, credentials, and configuration; `mcp_server` contains the MCP server Python code and its virtual environment.

3

What transport protocol does the MCP Server use?

The MCP Server communicates via SSE (Server‑Sent Events) at the endpoint `http://mcp_server:8000/sse`.

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