MCP.so
登录

Jina_fetch

@RoadMillion

关于 Jina_fetch

Convert url to LLM-friendly text, powered by jina ai reader

基本信息

分类

浏览器自动化

运行时

python

传输方式

stdio

发布者

RoadMillion

提交者

Tom Victor

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "jina_fetch": {
      "isActive": true,
      "command": "uvx",
      "args": [
        "mcp-jina-reader@latest"
      ]
    }
  }
}

工具

1

Use Jina URL reader to process URLs and return LLM-friendly output

概览

What is Jina_fetch?

Jina_fetch is a standard MCP server that converts URLs into LLM-friendly inputs using Jina AI's API. It is designed for developers who need to feed web content into large language models.

How to use Jina_fetch?

Install by adding the server configuration to your Claude Desktop config file (MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json, Windows: %APPDATA%/Claude/claude_desktop_config.json). Use the reader tool with a mandatory url string parameter to process a URL and return its content.

Key features of Jina_fetch

  • Converts URLs into LLM-friendly text
  • Uses Jina AI's URL reader API
  • Single tool with one required parameter
  • Standard MCP server for easy integration
  • Supports development and published deployment

Use cases of Jina_fetch

  • Feeding web page content into an LLM for summarization
  • Extracting readable text from URLs for analysis
  • Providing context from online sources to AI assistants

FAQ from Jina_fetch

What does Jina_fetch do?

It takes a URL as input and returns the processed content in a format suitable for large language models, using Jina AI's API.

What are the runtime requirements?

Jina_fetch requires Python and the uv package manager. It can be run via uv (development) or uvx (published).

Where does the data go?

The URL is sent to Jina AI's API for processing; the returned content is delivered back to the MCP client.

What transport does Jina_fetch use?

It communicates over stdio, as is standard for MCP servers.

Are there any known limits?

The README does not specify any limits.

评论

浏览器自动化 分类下的更多 MCP 服务器