What are the prerequisites for using n8n MCP Server?
Node.js v14+, a running n8n instance with API access, and an LLM or AI agent that supports the Model Context Protocol.
@dopehunter
基本信息
Complete MCP server for n8n workflow management in Cursor
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"n8n_MCP_server_complete": {
"command": "npx",
"args": [
"@dopehunter/n8n-mcp-server"
]
}
}
}List all workflows in the n8n instance
Get details of a specific workflow
Execute an n8n workflow
Get execution history for a workflow
Activate a workflow
Deactivate a workflow
The n8n MCP Server is a Model Context Protocol server that enables management of n8n workflows directly within LLMs and AI agents. It provides an MCP-compatible interface for listing, viewing, executing, and monitoring n8n workflows.
Install the package via npm install @dopehunter/n8n-mcp-server, configure a .env file with N8N_BASE_URL and N8N_API_KEY, then start the server with npm start. Alternatively, run it via npx @dopehunter/n8n-mcp-server or using Docker. Connect your LLM client (e.g., Claude Desktop) to the server URL.
Node.js v14+, a running n8n instance with API access, and an LLM or AI agent that supports the Model Context Protocol.
Set the `N8N_BASE_URL` (e.g., `http://localhost:5678/api`) and `N8N_API_KEY` environment variables in a `.env` file.
It includes `n8n_list_workflows`, `n8n_get_workflow`, `n8n_execute_workflow`, `n8n_get_executions`, `n8n_activate_workflow`, and `n8n_deactivate_workflow`.
Use the Docker configuration: `docker run -i --rm --init -e N8N_API_KEY=... -e N8N_BASE_URL=... mcp/n8n-mcp-server`.
Ensure your n8n instance is running and accessible at the URL specified in `N8N_BASE_URL`.

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