MCP Server + n8n

Name: MCP Server + n8n
Author: cursesai

@cursesai

リポジトリ

MCP Server + n8n について

概要はまだありません

#mcp-server #n8n #automation

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

batchfile

トランスポート

stdio

公開者

cursesai

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

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 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.

FAQ from MCP Server + n8n

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.

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.