• Browser Automation
  • Search
JavaScript
97
  • Apple
A
security – no known vulnerabilities (report Issue)
F
license - not found
A
quality - confirmed to work

An MCP server that provides access to Jina AI's powerful web services (page reading, web search, fact checking) through Claude.

  1. Tools
  2. Prompts
  3. Resources
  4. Server Configuration
  5. README.md

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription
read_webpageExtract content from a webpage in a format optimized for LLMs
search_webSearch the web using Jina AI's search API
ground_statementFact-check a statement using Jina AI's grounding engine

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
JINA_API_KEYYesYour Jina AI API key, required to use the Jina AI MCP Server
README.md

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

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:

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.

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues with dependencies of the server.
  • Extract server characteristics such as tools, resources, prompts, and required parameters.

Our directory badge helps users to quickly asses that the MCP server is safe, server capabilities, and instructions for installing the server.

Copy the following code to your README.md file:

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