M
MCP Directory CURATED DIRECTORY
911 MCP servers indexed
中文
← Back to directory
COMPARE UP TO 4 SERVERS

Compare MCP servers

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

DimensionOff Grid AIAn offline AI suite that runs on your deviceBioMCPOne binary. One grammar. Evidence from the biomedical sources you already trust.
FMRS25 / 100 · D75 / 100 · B
Reliability2 / 2010 / 20
Security and permissions7 / 2016 / 20
Maintenance10 / 2018 / 20
Documentation4 / 2017 / 20
Setup experience2 / 2014 / 20
Best for
  • Privacy-conscious users who want data to remain on-device
  • Users needing local AI capabilities on mobile or Mac
  • Users working with GGUF models or local-network model servers
  • Biomedical researchers
  • Clinicians
  • AI agents that need efficient access to biomedical literature and data analysis
Not for
  • Users seeking a server with explicitly documented MCP tools and transport configuration
  • Users requiring cloud hosting, remote APIs, or verified MCP client compatibility
  • Devices without sufficient hardware resources for the selected models
  • 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
  • Use device CPU, GPU, or NPU for local model inference
  • Access the microphone for on-device Whisper transcription
  • Access the camera for vision analysis
  • Access local files or documents for attachments and knowledge-base processing
  • Access the local network to connect to OpenAI-compatible remote LLM servers
  • 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
  • Model inference and image generation can consume substantial device resources and memory
  • Hexagon NPU support is marked experimental; some quantizations or model architectures may fall back to CPU or produce garbled output
  • When connected to a remote LLM server on the local network, data is sent to that service; the README does not specify its privacy policy
  • Tool calling may perform searches or query device information and the local knowledge base; no separate MCP permission boundary is documented
  • 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, Claude Code, Codex, Other MCP stdio clients
Tools011