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`.
@cursesai
Basic information
No overview available yet
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
n8n_data and mcp_server directories.ping and echo.server.py.Docker and Docker Compose are required. On Windows, Docker Desktop and Git are needed; on Linux, `docker.io`, `docker-compose`, and `docker-buildx`.
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.
The MCP Server communicates via SSE (Server‑Sent Events) at the endpoint `http://mcp_server:8000/sse`.
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