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Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionYouTube Data MCP ServerHigh-efficiency YouTube MCP server for AI agentsBioMCPOne binary. One grammar. Evidence from the biomedical sources you already trust.
FMRS62 / 100 · C75 / 100 · B
Reliability10 / 2010 / 20
Security and permissions12 / 2016 / 20
Maintenance12 / 2018 / 20
Documentation14 / 2017 / 20
Setup experience14 / 2014 / 20
Best for
  • LLM agents that need to minimize token consumption.
  • Users who frequently access YouTube data and want to protect API quotas.
  • Developers seeking a high-quality, well-tested MCP server.
  • Biomedical researchers
  • Clinicians
  • AI agents that need efficient access to biomedical literature and data analysis
Not for
  • Users needing raw, unoptimized YouTube API responses with all nested fields.
  • Users requiring real-time or very fresh data (caching may introduce staleness).
  • Users without MongoDB who want to use the `findConsistentOutlierChannels` tool.
  • 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
  • Network access to the YouTube Data API v3.
  • Optional: Access to API key from environment variables.
  • Optional: Access to MongoDB connection string for caching.
  • 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
  • API key exposure: Stored in env vars, risk of accidental commit if misconfigured.
  • API quota exhaustion: Search tools still cost significant units (e.g., search 100 units) despite optimizations.
  • Data caching may return stale info; avoid enabling MongoDB if not needed.
  • Dependency on a third-party server (non-official), subject to changes as YouTube API evolves.
  • 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 clientsClaude Desktop, CursorClaude Desktop, Claude Code, Codex, Other MCP stdio clients
Tools911