MCP by jina-ai - MCP Server

Jina AI Remote MCP Server

A remote Model Context Protocol (MCP) server that provides access to Jina Reader, Embeddings and Reranker APIs with a suite of URL-to-markdown, web search, image search, and embeddings/reranker tools:

Tool	Description	Is Jina API Key Required?
`primer`	Get current contextual information for localized, time-aware responses	No
`read_url`	Extract clean, structured content from web pages as markdown via Reader API	Optional*
`capture_screenshot_url`	Capture high-quality screenshots of web pages via Reader API	Optional*
`guess_datetime_url`	Analyze web pages for last update/publish datetime with confidence scores	No
`search_web`	Search the entire web for current information and news via Reader API	Yes
`search_arxiv`	Search academic papers and preprints on arXiv repository via Reader API	Yes
`search_images`	Search for images across the web (similar to Google Images) via Reader API	Yes
`expand_query`	Expand and rewrite search queries based on the query expansion model via Reader API	Yes
`parallel_search_web`	Run multiple web searches in parallel for comprehensive topic coverage and diverse perspectives via Reader API	Yes
`parallel_search_arxiv`	Run multiple arXiv searches in parallel for comprehensive research coverage and diverse academic angles via Reader API	Yes
`sort_by_relevance`	Rerank documents by relevance to a query via Reranker API	Yes
`deduplicate_strings`	Get top-k semantically unique strings via Embeddings API and submodular optimization	Yes
`deduplicate_images`	Get top-k semantically unique images via Embeddings API and submodular optimization	Yes

Optional tools work without an API key but have rate limits. For higher rate limits and better performance, use a Jina API key. You can get a free Jina API key from https://jina.ai

Usage

For client that supports remote MCP server:

{
  "mcpServers": {
    "jina-mcp-server": {
      "url": "https://mcp.jina.ai/sse",
      "headers": {
        "Authorization": "Bearer ${JINA_API_KEY}" // optional
      }
    }
  }
}

For client that does not support remote MCP server yet, you need mcp-remote a local proxy to connect to the remote MCP server.

{
  "mcpServers": {
    "jina-mcp-server": {
      "command": "npx",
      "args": [
        "mcp-remote", 
        "https://mcp.jina.ai/sse"
        // optional bearer token
        "--header",
        "Authorization: Bearer ${JINA_API_KEY}"
        ]
    }
  }
}

Troubleshooting

I got stuck in a tool calling loop - what happened?

This is a common issue with LMStudio when the default context window is 4096 and you're using a thinking model like gpt-oss-120b or qwen3-4b-thinking. As the thinking and tool calling continue, once you hit the context window limit, the AI starts losing track of the beginning of the task. That's how it gets trapped in this rolling context window.

The solution is to load the model with enough context length to contain the full tool calling chain and thought process.

set long enough context

I can't see all tools.

Some MCP clients have local caching and do not actively update tool definitions. If you're not seeing all the available tools or if tools seem outdated, you may need to remove and re-add the jina-mcp-server to your MCP client configuration. This will force the client to refresh its cached tool definitions. In LMStudio, you can click the refresh button to load new tools.

update local mcp clients

Developer Guide

Local Development

# Clone the repository
git clone https://github.com/jina-ai/MCP.git
cd MCP

# Install dependencies
npm install

# Start development server
npm run start

Deploy to Cloudflare Workers

This will deploy your MCP server to a URL like: jina-mcp-server.<your-account>.workers.dev/sse