{"type":"mcp_client","name":"n8n-nodes-mcp","description":"This n8n community node enables interaction with Model Context Protocol (MCP) servers within n8n workflows, allowing access to resources, tool execution, and prompt utilization for AI model integrations.","category":"Productivity","language":"TypeScript","stars":3020,"forks":159,"owner":"nerding-io","github_url":"https://github.com/nerding-io/n8n-nodes-mcp","homepage":null,"setup":"## Setup\n\n1.  Follow the [installation guide](https://docs.n8n.io/integrations/community-nodes/installation/) in the n8n community nodes documentation.\n2.  Set the `N8N_COMMUNITY_PACKAGES_ALLOW_TOOL_USAGE` environment variable to `true` if you want to use the MCP Client node as a tool in AI Agents.\n3.  For command-line based transport (STDIO), configure the command, arguments, and environment variables in the credentials UI or using Docker environment variables prefixed with `MCP_`.\n4.  For Server-Sent Events (SSE) transport, configure the SSE URL, optional messages post endpoint, and additional headers in the credentials UI.","tools":"## Available Tools\n\n1.  **Execute Tool** (Execute a specific tool with parameters)\n2.  **Get Prompt** (Get a specific prompt template)\n3.  **List Prompts** (Get a list of available prompts)\n4.  **List Resources** (Get a list of available resources from the MCP server)\n5.  **List Tools** (Get a list of available tools)\n6.  **Read Resource** (Read a specific resource by URI)","faq":null,"created_at":"2025-02-14T11:22:21+00:00","updated_at":"2025-03-28T23:08:53+00:00","source_url":"https://model-context-protocol.com/clients/n8n-mcp-integration-ai-model-workflows","related_articles":[]}