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.

DimensionCoach WattsOpen-source AI endurance coach and unified fitness dashboardBioMCPOne binary. One grammar. Evidence from the biomedical sources you already trust.
FMRS9 / 100 · D75 / 100 · B
Reliability2 / 2010 / 20
Security and permissions1 / 2016 / 20
Maintenance3 / 2018 / 20
Documentation2 / 2017 / 20
Setup experience1 / 2014 / 20
Best for
  • Endurance athletes (cycling, running, triathlon) seeking professional-level insights.
  • Users who prefer self-hosting to have full control over their data.
  • Athletes looking for AI guidance that considers a holistic view beyond just power numbers.
  • Biomedical researchers
  • Clinicians
  • AI agents that need efficient access to biomedical literature and data analysis
Not for
  • Casual users who do not want to deal with technical setup.
  • Individuals who want a simple step counter without multiple platform data collection.
  • Users seeking advanced strength training plans for gym workouts, rather than endurance focus.
  • 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
  • Access to user-authorized third-party fitness platforms (e.g., Strava, Whoop, Oura) to sync data.
  • Authentication via OAuth 2.0 to securely access user data.
  • Storage and processing of personal health and training data on a self-hosted server or cloud.
  • 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
  • Privacy risk: Aggregating health data requires access to multiple third-party accounts; if credentials are compromised, there is a risk of data breach.
  • Data accuracy: Analysis depends on the accuracy of synced data; sync issues may lead to incorrect recommendations.
  • AI errors: AI analysis powered by Gemini may have inaccuracies or misinterpretations, so it should not replace professional medical or coaching advice.
  • Dependency on external services: AI and some integrations rely on Google services and third-party API keys; outages may affect functionality.
  • 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