MCP
Official Jina AI Remote MCP Server
claude mcp add --transport stdio jina-ai-mcp npx -y mcp-remote https://mcp.jina.ai/v1 --header Authorization: Bearer ${JINA_API_KEY} \
--env JINA_API_KEY="Your Jina API key, e.g. jina_xxx"How to use
This MCP server provides access to Jina Reader, Embeddings, and Reranker APIs via a remote MCP endpoint. It exposes a wide suite of tools that can perform web content extraction, web searches, academic paper lookups, image searches, and reranking/deduplication tasks. Clients can connect using the MCP transport (Streamable HTTP) and then call the registered tools such as read_url, search_web, search_images, deduplicate_strings, and sort_by_relevance, among others. If you’re using the remote MCP configuration, you’ll route requests through the mcp-remote proxy to the official remote endpoint at mcp.jina.ai/v1 and pass your API key when needed.
How to install
Prerequisites:
- Node.js and npm installed on your machine
- Internet access to install npm packages
Install steps:
- Ensure you have an API key from Jina (optional for higher rate limits):
- Obtain a free Jina API key from https://jina.ai
- Install or run the MCP server via npm/npx using the remote proxy configuration provided by this server:
- This configuration expects you to run the remote MCP via npx mcp-remote with the remote URL and your API key scope:
# Example to start the remote MCP proxy locally (using the provided config):
npx -y mcp-remote https://mcp.jina.ai/v1 --header "Authorization: Bearer ${JINA_API_KEY}"
- Alternatively, if you want to run a local proxy pointing at the remote MCP endpoint, ensure you replace placeholders with your actual API key:
export JINA_API_KEY=your_api_key_here
npx -y mcp-remote https://mcp.jina.ai/v1 --header "Authorization: Bearer ${JINA_API_KEY}"
Notes:
- The server uses the Streamable HTTP transport as per MCP spec 2025-03-26.
- Some clients may not support environment variables, so consider hardcoding the API key in a secure manner if needed by your environment.
Additional notes
Tips and caveats:
- Optional tools require an API key for higher rate limits; you can run with no key but expect stricter quotas.
- If you encounter issues with env variables in certain clients, replace ${JINA_API_KEY} with your actual key in logs/requests.
- The MCP tooling supports filtering tools to optimize token usage; consider excluding parallel or heavy tools if you’re operating under tight token budgets.
- Ensure network access to https://mcp.jina.ai/v1 when using the remote proxy; corporate proxies may require additional configuration.
- For OpenAI Codex or Claude Code integrations, follow the specific configuration steps shown in the README to register the server appropriately.
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