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プロジェクトディレクトリ概要 MCP Server

@yhanawa

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yhanawa

关于 プロジェクトディレクトリ概要 MCP Server

暂无概览

プロジェクトディレクトリ概要 MCP Server 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-server-yhanawa": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

プロジェクトディレクトリ概要 MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 プロジェクトディレクトリ概要?

プロジェクトディレクトリ概要 is a project that provides MCP (Model Context Protocol) servers to reference API documentation. It uses the reference functionality and includes scripts for crawling web documentation and serving it via MCP, targeting users who want to access API docs through Claude.

How to use プロジェクトディレクトリ概要?

Clone the repository, install uv, create a virtual environment, and install dependencies (mcp[cli] and PyYAML). Prepare documentation by crawling (or downloading for OpenAPI), then run one of the MCP server scripts (e.g., uv run gemini_docs.py). Finally, update claude_desktop_config.json with the appropriate command and restart Claude.

Key features of プロジェクトディレクトリ概要

  • Provides MCP servers for Gemini, Anthropic, and OpenAPI documentation.
  • Crawls web documentation using a customizable script (crawl_all.py).
  • Supports presets for Gemini and Anthropic documentation.
  • Allows custom crawling with options like base URL, selector, and delay.
  • Integrates with Claude Desktop via claude_desktop_config.json.

Use cases of プロジェクトディレクトリ概要

  • Referencing Gemini API documentation through Claude using MCP.
  • Accessing Anthropic API documentation via the MCP server.
  • Serving OpenAPI documentation (downloaded from GitHub) through MCP.
  • Crawling and serving custom documentation sites for use with Claude.

常见问题

1

What documentation sources are supported?

The project supports Gemini, Anthropic, and OpenAPI documentation. Gemini and Anthropic docs are crawled; OpenAPI docs are downloaded from the OpenAI OpenAPI GitHub repository.

2

How do I set up the MCP server?

Install `uv`, create a virtual environment, install dependencies, run the desired Python script (e.g., `gemini_docs.py`), and configure `claude_desktop_config.json` with the command pointing to the script.

3

How do I crawl documentation?

Use `crawl_all.py` with a preset (`--preset gemini` or `--preset anthropic`) or custom options like `--base-url`, `--start-path`, `--output_file`, `--selector`, `--delay`, `--max-pages`, and `--use-selenium` for dynamic pages.

4

What are the runtime dependencies?

Python, `uv`, and the packages `mcp[cli]` and `PyYAML`. For crawling, additional options like Selenium may be needed for dynamic pages.

5

Where does the crawled data live?

Crawled documentation is saved in the `document/` directory as JSON files (for Gemini and Anthropic) or as a YAML file (for OpenAPI).

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