MPC Docs Server
MPC文档服务器
这是一个简单的 MCP(模型上下文协议)服务器,用于从 Langchain、Llama Index 和 OpenAI 的官方文档中检索信息。它提供了一个工具,可供兼容 MCP 的应用程序搜索和检索相关的文档片段。
Related MCP server: Rememberizer MCP Server
特征
**文档检索:**从 Langchain、Llama Index 和 OpenAI 的官方文档中获取内容。
**MCP 兼容性:**实现 MCP 服务器,使其能够轻松地与其他 MCP 兼容应用程序集成。
**简单工具:**公开一个接受查询和库名的
get_docs工具,返回相关的文档片段。
工作原理
graph LR
Client[MCP Client] -->|Calls tools| Server[MCP Server]
Server -->|Searches web for docs| Serper[Serper API]
Serper -->|Returns search results| Server
Server -->|Returns documentation| Client入门
安装 uv 包管理器
在 MacOS/Linux 上:
curl -LsSf https://astral.sh/uv/install.sh | sh之后请确保重新启动终端以确保uv命令被接收。
项目设置
创建并初始化项目:
# Create a new directory for our project
uv init mcp-server
cd mcp-server
# Create virtual environment and activate it
uv venv
source .venv/bin/activate # On Windows use: .venv\Scripts\activate
# Install dependencies
uv add "mcp[cli]" httpx python-dotenv bs4环境变量
在根目录中创建一个.env文件并添加以下内容:
SERPER_API_KEY=YOUR_SERPER_API_KEY您需要一个 SERPER API 密钥才能使用网页搜索功能。您可以从Serper.dev获取。我们使用 Serper API 在网络上搜索相关文档。
运行服务器
启动 MCP 服务器:
uv run main.py服务器将启动并准备接受连接。
This server cannot be installed
Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
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