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DimensionMirobody MCP ServerThe AI-native health data engine — collect, translate, reason with agents.BioMCPOne binary. One grammar. Evidence from the biomedical sources you already trust.
FMRS54 / 100 · D75 / 100 · B
Reliability9 / 2010 / 20
Security and permissions11 / 2016 / 20
Maintenance13 / 2018 / 20
Documentation12 / 2017 / 20
Setup experience9 / 2014 / 20
Best for
  • Developers and health-data teams that need to standardize heterogeneous lab reports and wearable data
  • Teams that want a self-hosted, Apache-2.0, FHIR-oriented health-data stack
  • Users plugging health-data tools into MCP clients such as Claude Desktop or Cursor
  • Offline terminology and unit resolution with no network and no key
  • Biomedical researchers
  • Clinicians
  • AI agents that need efficient access to biomedical literature and data analysis
Not for
  • Users who want a purely hosted, zero-deployment product
  • Users expecting local GPU inference — reasoning relies on a hosted model provider
  • Use as an official diagnostic or licensed clinical decision-making system
  • Document extraction and agent Q&A without configuring any model API key
  • 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
  • Read health documents and device data the user uploads or imports (labs, wearables, genomics)
  • Access user health records, including records shared in a care circle (gated by the per-row health_access field)
  • Call the configured hosted model provider's API (key kept in .env, e.g. OPENROUTER_API_KEY)
  • Serve agent tools to MCP clients, gated per user
  • 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
  • Health data is highly sensitive personal information; an exposed self-hosted deployment leaks medical records
  • Care-circle sharing: an invited member still decides via health_access on their own row, and any route that forgets the check must answer 403 instead of handing over a record
  • SEED_DEMO_DATA is on by default and should be set to false before a deployment holds real data
  • Documents and photos are sent to the configured hosted model provider, and scanned pages reach a vision model — assess data residency and compliance
  • The project is not a local LLM; assuming full offline operation can fail without network access
  • Model provider API keys written into .env must be protected from commits or leaks
  • 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
Tools011