This n8n workflow creates a secure, scalable AI agent that fetches software library documentation based on natural language queries. It features a public MCP (Multi-Agent Collaboration Protocol) SSE endpoint that external clients can call to get instant, context-aware library information. The process begins with an external request triggered via a webhook, which then invokes a dedicated sub-workflow using an integrated Google Gemini language model. This AI agent utilizes Context7 tools to resolve library names into system-specific IDs and fetch relevant documentation, maintaining conversation context with a memory buffer. The system is ideal for integrating intelligent documentation assistants into development environments, chatbots, or AI-driven support systems, simplifying client interaction and centralizing complex AI logic within n8n.
AI-Powered Software Documentation Retrieval Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.mcpTrigger, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolWorkflow, executeWorkflowTrigger, n8n-nodes-mcp.mcpClientTool, stickyNote |
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