Context7 Smithery AI Agent MCP 服务器
高级
这是一个Engineering, AI领域的自动化工作流，包含 18 个节点。主要使用 McpClientTool, Agent, McpTrigger, ToolWorkflow, ExecuteWorkflowTrigger 等节点，结合人工智能技术实现智能自动化。 使用 Context7 和 Gemini 的文档查找 AI 代理
前置要求
- •Google Gemini API Key
使用的节点 (18)
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"id": "vqujIu65SFbZUz0n",
"meta": {
"instanceId": "3612a0c89f35a354ddd1216385240db51b4635fde7cae2a0d5004be915b832f3",
"templateCredsSetupCompleted": true
},
"name": "Context7 Smithery AI Agent MCP 服务器",
"tags": [],
"nodes": [
{
"id": "a42ae423-a348-460e-888c-f3df2b82021d",
"name": "Google Gemini聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
440,
380
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.5-flash-preview-05-20"
},
"credentials": {
"googlePalmApi": {
"id": "c8jj7D6oz6RJ81qp",
"name": "Google Gemini Context7"
}
},
"typeVersion": 1
},
{
"id": "22f3e783-4310-4d15-a875-cbb400a82c1b",
"name": "context7-解析库ID",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
1280,
480
],
"parameters": {
"toolName": "resolve-library-id",
"operation": "executeTool",
"connectionType": "http",
"toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', `Generate a JSON object with the parameters for this tool.\nThe tool expects a JSON object with one **required** key:\n- \"libraryName\": (string) The common name of the software library or framework.\nExample: {\"libraryName\": \"react\"}`, 'json') }}",
"descriptionType": "manual",
"toolDescription": "Resolves a general library name (e.g., 'nextjs', 'mongodb') into a unique Context7-compatible library ID (e.g., '/vercel/next.js', '/mongodb/docs'). Use this tool first to get the correct ID before attempting to fetch its documentation."
},
"credentials": {
"mcpClientHttpApi": {
"id": "CL3sgNzCgbtRRxtL",
"name": "smithery_context7"
}
},
"typeVersion": 1
},
{
"id": "526eab1c-7a08-45eb-8169-7e8d4578c117",
"name": "context7-获取库文档",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
1840,
480
],
"parameters": {
"toolName": "get-library-docs",
"operation": "executeTool",
"connectionType": "http",
"toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', `Generate a JSON object with the parameters for this tool.\nThe tool expects a JSON object with the following keys:\n- \"context7CompatibleLibraryID\": (string, **required**) The exact Context7-compatible library ID (e.g., \"/vercel/next.js\").\n- \"topic\": (string, optional) A specific topic to focus the documentation on (e.g., \"routing\").\n- \"tokens\": (number, optional, default: 10000) Maximum number of tokens for the documentation. Minimum effective value is 10000.\nExample for required only: {\"context7CompatibleLibraryID\": \"/mongodb/docs\"}\nExample with optional: {\"context7CompatibleLibraryID\": \"/vercel/next.js\", \"topic\": \"authentication\", \"tokens\": 15000}`, 'json') }}",
"descriptionType": "manual",
"toolDescription": "Fetches documentation for a specified library using its Context7-compatible library ID. You can optionally focus on a specific topic within the documentation and set a maximum token limit for the returned content."
},
"credentials": {
"mcpClientHttpApi": {
"id": "CL3sgNzCgbtRRxtL",
"name": "smithery_context7"
}
},
"typeVersion": 1
},
{
"id": "5cafb0d4-19ac-4589-88d8-34b88404e0f1",
"name": "Context7 MCP 服务器触发器",
"type": "@n8n/n8n-nodes-langchain.mcpTrigger",
"position": [
120,
-860
],
"webhookId": "c597b9e9-33bf-41d9-8602-e63d2bee174b",
"parameters": {
"path": "dafdfsdfsdf6e8-ea19-43b7-b337-a5iuodsf98vjfewf"
},
"typeVersion": 1
},
{
"id": "945d8818-c346-44ba-b4c1-56d166a4f381",
"name": "Context7 AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
880,
-20
],
"parameters": {
"text": "={{ $('Context7 Workflow Start').item.json.query }}",
"options": {
"systemMessage": "You are an AI assistant with access to Context7 tools to help users find software library documentation.\nYour primary functions are to:\n1. **Resolve Library IDs:** When a user asks for documentation for a library like 'Next.js' or 'MongoDB', first use the `resolve-library-id` tool to find its specific Context7-compatible ID (e.g., '/vercel/next.js'). The input for this tool is the `libraryName`.\n2. **Get Library Documentation:** Once you have the `context7CompatibleLibraryID` from the previous step, use the `get-library-docs` tool to fetch the documentation.\n * The required parameter is `context7CompatibleLibraryID`.\n * If the user specifies a particular `topic` (e.g., \"routing in Next.js\"), include this in the `topic` parameter.\n * You can also adjust the `tokens` parameter if a different length of documentation is implicitly or explicitly requested, keeping in mind the default and minimum is 10000.\n\nAlways use `resolve-library-id` before `get-library-docs` if you don't already have the exact Context7-compatible library ID. Be precise with the IDs."
},
"promptType": "define"
},
"typeVersion": 2
},
{
"id": "1b0cd3cc-8566-4cb5-932c-005149a2467b",
"name": "Context7 工作流开始",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
100,
-20
],
"parameters": {
"workflowInputs": {
"values": [
{
"name": "query"
}
]
}
},
"typeVersion": 1.1
},
{
"id": "e955aa60-2b80-45d5-885b-24b7fe56a426",
"name": "简单记忆",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
700,
520
],
"parameters": {
"sessionKey": "={{ $execution.id }}",
"sessionIdType": "customKey"
},
"typeVersion": 1.3
},
{
"id": "4927c593-5762-4a26-87eb-8a7e0a4b3d32",
"name": "call_context7_ai_agent",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
280,
-460
],
"parameters": {
"workflowId": {
"__rl": true,
"mode": "list",
"value": "vqujIu65SFbZUz0n",
"cachedResultName": "Context7 Smithery AI Agent MCP Server"
},
"description": "=处理自然语言查询，使用 Context7 查找并检索软件库文档。它智能地使用子工具首先将库名称解析为 Context7 ID，然后获取相关文档。",
"workflowInputs": {
"value": {
"query": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('query', `The user's natural language question or request for software library documentation. For example: 'How do I implement authentication in Next.js?' or 'Get docs for MongoDB aggregation framework'.`, 'string') }}"
},
"schema": [
{
"id": "query",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "query",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"typeVersion": 2.2
},
{
"id": "d72a2661-5622-4bfa-9d42-8c96b5fef877",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
1700,
-40
],
"parameters": {
"width": 680,
"height": 320,
"content": "## 用于 Roo Code 等的 MCP JSON"
},
"typeVersion": 1
},
{
"id": "c0dc815b-3d0f-49e2-8da0-08d2f45d0991",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-260,
-1140
],
"parameters": {
"color": 4,
"width": 580,
"height": 420,
"content": "此节点是 Context7 AI Agent 服务的公共入口点。"
},
"typeVersion": 1
},
{
"id": "adc54a99-b04d-40be-a9a4-25f837453c14",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-260,
-680
],
"parameters": {
"color": 4,
"width": 580,
"height": 340,
"content": "此节点代表外部客户端通过 MCP Server Trigger 调用的工具。"
},
"typeVersion": 1
},
{
"id": "5cc037d1-4155-49dc-86f5-7af9976149bf",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1700,
-660
],
"parameters": {
"color": 2,
"width": 680,
"height": 600,
"content": "## 主 MCP 服务器工作流概述"
},
"typeVersion": 1
},
{
"id": "79bf63c1-b325-4a3c-950e-30df5aef15e4",
"name": "便签4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-20,
-200
],
"parameters": {
"color": 5,
"width": 360,
"height": 200,
"content": "这是 AI Agent 子工作流的入口点。"
},
"typeVersion": 1
},
{
"id": "2486cacc-b06a-4e30-b363-456930cf0ea5",
"name": "便签5",
"type": "n8n-nodes-base.stickyNote",
"position": [
760,
-280
],
"parameters": {
"color": 5,
"width": 560,
"height": 440,
"content": "核心 AI 逻辑单元。"
},
"typeVersion": 1
},
{
"id": "f5f12aa6-d90a-419c-9baa-2c7c451a71d1",
"name": "便签6",
"type": "n8n-nodes-base.stickyNote",
"position": [
580,
640
],
"parameters": {
"color": 6,
"width": 360,
"height": 200,
"content": "为 AI Agent 提供对话记忆。"
},
"typeVersion": 1
},
{
"id": "d2598e8e-3931-436f-a480-b4bef659bccb",
"name": "便签7",
"type": "n8n-nodes-base.stickyNote",
"position": [
1100,
640
],
"parameters": {
"color": 6,
"width": 480,
"height": 500,
"content": "此节点允许 AI Agent 使用外部的 'resolve-library-id' Context7 MCP 工具。"
},
"typeVersion": 1
},
{
"id": "7bebd852-75e5-427e-a3ee-781cd85f20e6",
"name": "便签8",
"type": "n8n-nodes-base.stickyNote",
"position": [
1620,
640
],
"parameters": {
"color": 6,
"width": 520,
"height": 500,
"content": "此节点允许 AI Agent 使用外部的 'get-library-docs' Context7 MCP 工具。"
},
"typeVersion": 1
},
{
"id": "f4749f9a-6f9e-45c5-b6a9-a89d4dc77dec",
"name": "便签9",
"type": "n8n-nodes-base.stickyNote",
"position": [
500,
-1380
],
"parameters": {
"color": 7,
"width": 1140,
"height": 1040,
"content": "## n8n AI Agent 作为 MCP 服务（Context7 文档示例）"
},
"typeVersion": 1
}
],
"active": true,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "785e4ebf-bb80-48e3-872c-40d1b9a8d14b",
"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
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
高级 - 工程, 人工智能
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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工作流信息
难度等级
高级
节点数量18
分类2
节点类型8
作者
Jez
@jezI'm passionate about combining traditional web development with AI and automation to create impactful online solutions. As Founder & CEO of Jezweb, an award-winning Newcastle, Australia agency, I lead a 30+ person team delivering high-quality web design, development, and hosting services to over 3000 clients.
外部链接
在 n8n.io 查看 →
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