An officially maintained remote MCP server from Jina AI wrapping its Reader, Embeddings, and Reranker APIs into a broad toolset for web reading, search, deduplication, reranking, and PDF extraction, with server-side tool filtering to manage context usage and thorough documentation covering setup and troubleshooting across major MCP clients.
An officially maintained remote Model Context Protocol server from Jina AI that exposes 22 tools backed by the Reader, Embeddings, and Reranker APIs — covering URL-to-markdown extraction, web/image/arXiv/SSRN search, screenshotting, deduplication, classification, reranking, and PDF structure extraction. It is hosted at https://mcp.jina.ai/v1 using Streamable HTTP transport (the /sse path is kept only as a backward-compatible alias). Some tools work without an API key under rate limits; most require a Jina API key for full access. Server-side tool filtering via URL query parameters (include_tools/exclude_tools/include_tags/exclude_tags/max_tokens) lets clients register only the tools they need to save context tokens.
1) If your client supports remote MCP servers natively (Cursor, LM Studio, Claude Code), add url: https://mcp.jina.ai/v1 with an optional Authorization: Bearer ${JINA_API_KEY} header. 2) If your client lacks remote MCP support (e.g. some Claude Desktop setups), connect through the local mcp-remote proxy via npx, passing the server URL and Authorization header as args. 3) For Claude Code, run claude mcp add -s user --transport http jina https://mcp.jina.ai/v1 --header "Authorization: Bearer ${JINA_API_KEY}". 4) For OpenAI Codex, edit ~/.codex/config.toml to add an mcp_servers entry that launches mcp-remote. 5) Optionally filter which tools get registered server-side via query params, e.g. ?exclude_tags=parallel or ?include_tags=search,read, to save context window space.
{"mcpServers":{"jina-mcp-server":{"url":"https://mcp.jina.ai/v1","headers":{"Authorization":"Bearer ${JINA_API_KEY}"}}}}