{ "name": "Documentation Lookup AI Agent using Context7 and Gemini", "nodes": [ { "id": "a42ae423-a348-460e-888c-f3df2b82021d", "name": "Google Gemini Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ 440, 380 ] }, { "id": "22f3e783-4310-4d15-a875-cbb400a82c1b", "name": "context7-resolve-library-id", "type": "n8n-nodes-mcp.mcpClientTool", "position": [ 1280, 480 ] }, { "id": "526eab1c-7a08-45eb-8169-7e8d4578c117", "name": "context7-get-library-docs", "type": "n8n-nodes-mcp.mcpClientTool", "position": [ 1840, 480 ] }, { "id": "5cafb0d4-19ac-4589-88d8-34b88404e0f1", "name": "Context7 MCP Server Trigger", "type": "@n8n/n8n-nodes-langchain.mcpTrigger", "position": [ 120, -860 ] }, { "id": "945d8818-c346-44ba-b4c1-56d166a4f381", "name": "Context7 AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 880, -20 ] }, { "id": "1b0cd3cc-8566-4cb5-932c-005149a2467b", "name": "Context7 Workflow Start", "type": "n8n-nodes-base.executeWorkflowTrigger", "position": [ 100, -20 ] }, { "id": "e955aa60-2b80-45d5-885b-24b7fe56a426", "name": "Simple Memory", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [ 700, 520 ] }, { "id": "4927c593-5762-4a26-87eb-8a7e0a4b3d32", "name": "call_context7_ai_agent", "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "position": [ 280, -460 ] }, { "id": "d72a2661-5622-4bfa-9d42-8c96b5fef877", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 1700, -40 ], "parameters": { "width": 680, "height": 320, "content": "## MCP JSON for Roo Code etc\n\nTo use this in Roo Code, Cline etc use\n\n\"n8n-context7\": {\n \"url\": \"https://n8n.coolify.au/mcp/dafd56e8-ea19-43b7-b337-a5881c3bc541/sse\",\n \"alwaysAllow\": [\n " } }, { "id": "c0dc815b-3d0f-49e2-8da0-08d2f45d0991", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -260, -1140 ], "parameters": { "width": 580, "height": 420, "content": "This node is the public entry point for the Context7 AI Agent service.\nIt exposes an MCP (Multi-Agent Collaboration Protocol) SSE (Server-Sent Events) endpoint.\n\n- Path: The long, random path (e.g., /" } }, { "id": "adc54a99-b04d-40be-a9a4-25f837453c14", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -260, -680 ], "parameters": { "width": 580, "height": 340, "content": "This node represents the tool that external clients call via the MCP Server Trigger.\nWhen triggered, it executes the separate \"Context7 Smithery AI Agent MCP Server\" sub-workflow (ID: vqujIu65SFbZUz0n" } }, { "id": "5cc037d1-4155-49dc-86f5-7af9976149bf", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 1700, -660 ], "parameters": { "width": 680, "height": 600, "content": "## Main MCP Server Workflow Overview\n\nThis workflow acts as the public gateway for the Context7 AI Documentation Agent.\n\n1. **`Context7 MCP Server Trigger`**:\n * Receives requests from external " } }, { "id": "79bf63c1-b325-4a3c-950e-30df5aef15e4", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -20, -200 ], "parameters": { "width": 360, "height": 200, "content": "This is the entry point for the AI Agent sub-workflow.\n- Receives:\n - 'query': The user's natural language question from the main workflow.\n- Passes data to: The IF node (for API key check, if impl" } }, { "id": "2486cacc-b06a-4e30-b363-456930cf0ea5", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 760, -280 ], "parameters": { "width": 560, "height": 440, "content": "The core AI logic unit.\n- Model: Uses Google Gemini.\n- System Prompt: Instructs the AI on how to use the Context7 tools.\n- Tools: Has access to 'context7-resolve-library-id' and 'context7-get-library-" } }, { "id": "f5f12aa6-d90a-419c-9baa-2c7c451a71d1", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ 580, 640 ], "parameters": { "width": 360, "height": 200, "content": "Provides conversational memory for the AI Agent.\n- Type: Window Buffer Memory (keeps a sliding window of recent messages).\n- Session Key: Uses `{{ $execution.id }}`. This ensures that memory is unique" } }, { "id": "d2598e8e-3931-436f-a480-b4bef659bccb", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [ 1100, 640 ], "parameters": { "width": 480, "height": 500, "content": "This node allows the AI Agent to use the external 'resolve-library-id' Context7 MCP tool.\n\n- Connection: Uses the 'smithery_context7' credential to communicate with the Context7 MCP service.\n- Action:" } }, { "id": "7bebd852-75e5-427e-a3ee-781cd85f20e6", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [ 1620, 640 ], "parameters": { "width": 520, "height": 500, "content": "This node allows the AI Agent to use the external 'get-library-docs' Context7 MCP tool.\n\n- Connection: Uses the 'smithery_context7' credential to communicate with the Context7 MCP service.\n- Action: W" } }, { "id": "f4749f9a-6f9e-45c5-b6a9-a89d4dc77dec", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ 500, -1380 ], "parameters": { "width": 1140, "height": 1040, "content": "## n8n AI Agent as an MCP Service (Context7 Docs Example)\n\n**What This Workflow Does:**\nThis n8n setup transforms a complex AI agent into a single, callable tool exposed over an MCP (Multi-Agent Colla" } } ], "connections": { "Simple Memory": { "ai_memory": [ [ { "node": "Context7 AI Agent", "type": "ai_memory", "index": 0 } ] ] }, "call_context7_ai_agent": { "ai_tool": [ [ { "node": "Context7 MCP Server Trigger", "type": "ai_tool", "index": 0 } ] ] }, "Context7 Workflow Start": { "main": [ [ { "node": "Context7 AI Agent", "type": "main", "index": 0 } ] ] }, "Google Gemini Chat Model": { "ai_languageModel": [ [ { "node": "Context7 AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "context7-get-library-docs": { "ai_tool": [ [ { "node": "Context7 AI Agent", "type": "ai_tool", "index": 0 } ] ] }, "context7-resolve-library-id": { "ai_tool": [ [ { "node": "Context7 AI Agent", "type": "ai_tool", "index": 0 } ] ] } } }