MCP テストサーバー

Name: MCP テストサーバー
Author: watamoo

@watamoo

代码仓库

关于 MCP テストサーバー

暂无概览

基本信息

分类

开发工具

运行时

python

传输方式

stdio

发布者

watamoo

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-test-server-watamoo": {
      "command": "uv",
      "args": [
        "init",
        "mcp-test-server"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP テストサーバー?

MCP テストサーバー is a Python server that implements the Model Context Protocol (MCP) to provide a Retrieval Augmented Generation (RAG) system using OpenAI's vector store.

How to use MCP テストサーバー?

Initialize the project with uv init, create a virtual environment, install dependencies with uv sync, and set the OPENAI_API_KEY environment variable in a .env file. The server exposes two tools: create_vector_db_from_directory and query_vector_db. It can be integrated with the Claude desktop app by adding a configuration entry pointing to the server's directory and the command uv run server.py.

Key features of MCP テストサーバー

Creates a vector store from a local directory of files.
Supports .txt, .pdf, .docx, and .md file formats.
Queries the vector store to retrieve relevant information.
Provides two MCP tools: creation and search.

Use cases of MCP テストサーバー

Building a searchable knowledge base from project documentation.
Enabling a chatbot to answer questions based on local documents.
Creating a RAG pipeline with OpenAI’s vector store for fast retrieval.

FAQ from MCP テストサーバー

What does the server do?

It builds a vector store from files in a specified directory using OpenAI’s API and allows you to query that store for relevant content.

What are the runtime requirements?

Python 3.11 or higher and an OpenAI API key are required.

Does the server send my data to OpenAI?

Yes, the server uses the OpenAI vector store API, so file content is sent to OpenAI during vector store creation.

How can I test the server locally?

You can use the MCP Inspector by running npx @modelcontextprotocol/inspector uv run server.py and interact with the tools through its web interface.

How do I integrate this server with Claude?

Add a JSON entry in Claude desktop app’s config file with the server name, the uv command, and the absolute path to the project directory containing server.py.