What are the dependencies or runtime requirements?
Python 3.12 or newer and the `uv` package manager are required. For installation instructions, refer to the official uv documentation.
@yiGmMk
基本情報
learn to make some mcp servers
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-server-yigmmk": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@yiGmMk/mcp-server",
"--client",
"claude"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A Model Context Protocol (MCP) server that integrates jina.ai tools (search, web page reading) and serves as a learning project for writing MCP servers. It is designed for use with AI assistants like Claude.
Install Python 3.12+ and the uv package manager. Then configure the server in your MCP client (e.g., Claude Desktop) using the provided mcpServers JSON block, setting the command to uv with arguments pointing to your local main.py file and providing the required API keys (JINA_API_KEY, GOOGLE_AI_STUDIO_KEY). Automatic installation via Smithery is also available.
Python 3.12 or newer and the `uv` package manager are required. For installation instructions, refer to the official uv documentation.
You need `JINA_API_KEY` (obtain from https://jina.ai/reader) and `GOOGLE_AI_STUDIO_KEY` (obtain from https://aistudio.google.com/apikey).
You can install it automatically via Smithery using `npx -y @smithery/cli install @yiGmMk/mcp-server --client claude`, or manually by adding a JSON configuration block to your MCP client (e.g., Claude Desktop) with the appropriate `command` and `env` values.
The README notes that a Docker image build succeeded, but the MCP service exits immediately when run inside a container, so Docker usage is currently not functional.
It provides tools from jina.ai, such as web search and web page reading. The exact tool names are not listed in the README.

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