Jina.ai Reader MCP server

Provides a bridge to Jina.ai's reader service for fetching and parsing web content from URLs into markdown format suitable for analysis and summarization.
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Provider
kealuya
Release date
Apr 17, 2025
Language
Go
Stats
3 stars

MCP-Jina-AI is a powerful tool that integrates Jina.ai's reader service to convert web content into formats that are friendly for large language models (LLMs). It transforms web pages into clean, structured text that can be easily processed by AI models, providing a simple and efficient way to extract content from URLs.

Installation

To install MCP-Jina-AI, you need to have Go installed and your GOPATH properly set up in your system's PATH. Use the following command to install:

go install github.com/kealuya/mcp-jina-ai@latest

Usage

MCP Configuration

To integrate MCP-Jina-AI within the MCP ecosystem, add the following configuration to your MCP configuration file:

{
  "mcpServers": {
    "mcp-jina-ai": {
      "command": "mcp-jina-ai"
    }
  }
}

Configuration Steps

  • Add the above JSON configuration to your MCP configuration file
  • Ensure you have installed MCP-Jina-AI via the go install command
  • Restart your MCP service to apply the configuration changes

Working with Jina.ai Reader Service

Jina.ai's reader service (r.jina.ai) extracts the main content from web pages. The service is free to use. To process any URL, simply add 'r.jina.ai/' before the original URL.

Example:

  • Original URL: https://example.com/article
  • URL with Jina.ai Reader Service: https://r.jina.ai/https://example.com/article

Features

  • Easy extraction of content from URLs
  • Automatic conversion to LLM-friendly format
  • Clean and structured text output
  • Fast and reliable processing
  • High performance implementation in Go

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.

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