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mcp-jina-reader

by RoadMillion

The mcp-jina-reader is a standard MCP server that converts URLs into LLM-friendly inputs using Jina AI's API. It provides a tool to process URLs and return the processed content.

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What is mcp-jina-reader?

The mcp-jina-reader is an MCP (Model Context Protocol) server designed to extract and format content from URLs for use with Large Language Models (LLMs). It leverages Jina AI's API to process the URL content and provide LLM-friendly output.

How to use mcp-jina-reader?

To use the server, configure it within a compatible environment like Claude Desktop by specifying the command and arguments for execution. The server exposes a 'reader' tool that accepts a URL as a string parameter and returns the processed content. Refer to the provided configuration examples for development and published server setups.

Key features of mcp-jina-reader

  • URL Processing

  • LLM-Friendly Output

  • Jina AI Integration

  • MCP Compliant

Use cases of mcp-jina-reader

  • Content Extraction for LLMs

  • Automated Text Summarization

  • Data Preprocessing for NLP Tasks

  • Knowledge Base Creation

FAQ from mcp-jina-reader

What is MCP?

MCP stands for Model Context Protocol, a standard for communication between applications and models.

What is Jina AI?

Jina AI provides an API for various AI tasks, including URL reading and content processing.

What input does the 'reader' tool require?

The 'reader' tool requires a 'url' parameter as a mandatory string.

How do I debug the MCP server?

It is recommended to use the MCP Inspector for debugging, which can be launched via npm.

How do I publish the server?

Use the 'uv build' and 'uv publish' commands to build and publish the package to PyPI, ensuring you have the necessary credentials configured.