mcp-jina-reader

# mcp-jina-reader MCP server A standard MCP server that converts URLs into LLM-friendly inputs using Jina AI's API ### Tools The server implements one tool: - reader: Use Jina URL reader to process URLs and return LLM-friendly output - Requires "url" as a mandatory string parameter - Returns processed URL content ## Quickstart ### Install #### Claude Desktop On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json` On Windows: `%APPDATA%/Claude/claude_desktop_config.json` <details> <summary>Development/Unpublished Servers Configuration</summary> ``` "mcpServers": { "mcp-jina-reader": { "command": "uv", "args": [ "--directory", "your-dir", "run", "mcp-jina-reader" ] } } ``` </details> <details> <summary>Published Servers Configuration</summary> ``` "mcpServers": { "mcp-jina-reader": { "command": "uvx", "args": [ "mcp-jina-reader" ] } } ``` </details> ## Development ### Building and Publishing To prepare the package for distribution: 1. Sync dependencies and update lockfile: ```bash uv sync ``` 2. Build package distributions: ```bash uv build ``` This will create source and wheel distributions in the `dist/` directory. 3. Publish to PyPI: ```bash uv publish ``` Note: You'll need to set PyPI credentials via environment variables or command flags: - Token: `--token` or `UV_PUBLISH_TOKEN` - Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD` ### Debugging Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector). You can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command: ```bash npx @modelcontextprotocol/inspector uv --directory yourdir run mcp-jina-reader ``` Upon…