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DimensionJina AI Remote MCP ServerJina AI's official remote MCP server for web reading, search, and embeddings/rerankingBioMCPOne binary. One grammar. Evidence from the biomedical sources you already trust.
FMRS64 / 100 · C75 / 100 · B
Reliability7 / 2010 / 20
Security and permissions13 / 2016 / 20
Maintenance12 / 2018 / 20
Documentation18 / 2017 / 20
Setup experience14 / 2014 / 20
Best for
  • Developers who want to give an LLM real-time web search and reading capability
  • Researchers doing academic literature review across arXiv and SSRN
  • Teams needing semantic deduplication or classification of text/image sets
  • Users with a Jina API key who want one remote MCP server usable across multiple clients
  • Biomedical researchers
  • Clinicians
  • AI agents that need efficient access to biomedical literature and data analysis
Not for
  • Fully offline or air-gapped environments with no outbound network access
  • Users unwilling to obtain a Jina API key, since most tools require one for full access and unauthenticated use is rate-limited
  • Latency-sensitive workflows, since tools like search_web_deep can take 2-20 seconds per call
  • Users needing to write to upstream databases (read-only)
  • Users requiring direct access to closed datasets (e.g., COSMIC is not directly integrated)
  • Users expecting all advanced features without API keys
Required permissions
  • An optional or required Jina API key (Bearer token) for accessing the Reader/Embeddings/Reranker APIs and higher rate limits
  • Outbound network access from the server to target URLs, search engines, and Jina's cloud APIs
  • Requires internet access to query public biomedical APIs
  • Optional API keys (NCBI, Semantic Scholar, OpenFDA, etc.) to improve rate limits or unlock features
  • Local read/write access for skills, cache, and local study data (e.g., `~/.local/share/biomcp`)
Risks and side effects
  • This is a hosted remote server at mcp.jina.ai — queries and fetched page content pass through Jina's cloud infrastructure
  • API keys stored in plaintext config files or environment variables can be exposed if configs are shared or leaked
  • Rate limits apply to tools used without an API key, which can bottleneck heavy usage
  • Some tools (e.g. search_web_deep) have noticeably longer response times, which can affect interactive workflows
  • Upstream API rate limits may affect performance
  • Some data sources (e.g., KEGG) have licensing terms that restrict non-academic use
  • Features requiring API keys (e.g., OncoKB) may be incomplete without them
  • Local binary installations need regular updates for compatibility
Supported clientsCursor, LM Studio, Claude Code, Claude Desktop, Codex, WindsurfClaude Desktop, Claude Code, Codex, Other MCP stdio clients
Tools2211