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Jina AI MCP Server

An MCP server that provides access to Jina AI's powerful web services through Claude. This server implements three main tools:

  • Web page reading and content extraction

  • Web search

  • Fact checking/grounding

Features

Tools

read_webpage

  • Extract content from web pages in a format optimized for LLMs

  • Supports multiple output formats (Default, Markdown, HTML, Text, Screenshot, Pageshot)

  • Options for including links and images

  • Ability to generate alt text for images

  • Cache control options

search_web

  • Search the web using Jina AI's search API

  • Configurable number of results (default: 5)

  • Support for image retention and alt text generation

  • Multiple return formats (markdown, text, html)

  • Returns structured results with titles, descriptions, and content

fact_check

  • Fact-check statements using Jina AI's grounding engine

  • Provides factuality scores and supporting evidence

  • Optional deep-dive mode for more thorough analysis

  • Returns references with key quotes and supportive/contradictory classification

Related MCP server: JIRA MCP Tools

Setup

Prerequisites

You'll need a Jina AI API key to use this server. Get one for free at https://jina.ai/

Installation

There are two ways to use this server:

Installing via Smithery

To install Jina AI for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install jina-ai-mcp-server --client claude

Option 1: NPX (Recommended)

Add this configuration to your Claude Desktop config file:

{ "mcpServers": { "jina-ai-mcp-server": { "command": "npx", "args": [ "-y", "jina-ai-mcp-server" ], "env": { "JINA_API_KEY": "<YOUR_KEY>" } } } }

Option 2: Local Installation

  1. Clone the repository

  2. Install dependencies:

npm install
  1. Build the server:

npm run build
  1. Add this configuration to your Claude Desktop config:

{ "mcpServers": { "jina-ai-mcp-server": { "command": "node", "args": [ "/path/to/jina-ai-mcp-server/dist/index.js" ], "env": { "JINA_API_KEY": "<YOUR_KEY>" } } } }

Config File Location

On MacOS:

~/Library/Application Support/Claude/claude_desktop_config.json

On Windows:

%APPDATA%/Claude/claude_desktop_config.json

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

API Response Types

All tools return structured JSON responses that include:

  • Status codes and metadata

  • Formatted content based on the requested output type

  • Usage information (token counts)

  • When applicable: images, links, and additional metadata

For detailed schema information, see schemas.ts.

One-click Deploy
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

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