mcp-jina-ai

# Jina AI MCP Server [](https://smithery.ai/server/jina-ai-mcp) [](https://smithery.ai/server/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 <a href="https://glama.ai/mcp/servers/c1l6ib2j49"><img width="380" height="200" src="https://glama.ai/mcp/servers/c1l6ib2j49/badge" alt="mcp-jina-ai MCP server" /></a> ## 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: #### Installing via Smithery To install Jina AI for Claude Desktop automatically via [Smithery](https://smithery.ai/server/jina-ai-mcp-server): ```bash npx -y @smithery/cli install jina-ai-mcp-server --client claude ``` #### Option 1: NPX (Recommended) Add this configuration to your Claude Desktop config file: ```json { "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: ```bash npm install ``` 3. Build the server: ```bash npm run build ``` 4. Add this configuration to your Claude Desktop config: ```json { "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: ```bash ~/Library/Application Support/Claude/claude_desktop_config.json ``` On Windows: ```bash %APPDATA%/Claude/claude_desktop_config.json ``` ### Debugging Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector): ```bash 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`.