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DimensionGoogle Analytics MCP ServerLocal, experimental MCP server for Google AnalyticsBioMCPOne binary. One grammar. Evidence from the biomedical sources you already trust.
FMRS62 / 100 · C75 / 100 · B
Reliability9 / 2010 / 20
Security and permissions13 / 2016 / 20
Maintenance13 / 2018 / 20
Documentation13 / 2017 / 20
Setup experience14 / 2014 / 20
Best for
  • Users of Gemini CLI, Gemini Code Assist, or Claude Code who want to query Google Analytics data in natural language
  • Analysts with a Google Cloud project and Google Analytics access who can configure ADC credentials
  • Teams that prefer running the server locally and managing their own credentials
  • Biomedical researchers
  • Clinicians
  • AI agents that need efficient access to biomedical literature and data analysis
Not for
  • Users without Google Analytics access or the ability to configure Google Cloud credentials
  • Users looking for a fully managed, zero-configuration service
  • Scenarios that need to write to or modify Google Analytics configuration (the credential scope is read-only)
  • Production scenarios with strict stability requirements, given the experimental status
  • 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
  • Application Default Credentials for a user with access to the target Google Analytics accounts or properties
  • Google Analytics read-only scope https://www.googleapis.com/auth/analytics.readonly
  • Google Analytics Admin API and Google Analytics Data API enabled in the Google Cloud project
  • Optional Google Cloud project ID (GOOGLE_PROJECT_ID) for quota and billing attribution
  • 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
  • The server is experimental, so behavior and interfaces may change
  • Credentials are stored locally as a JSON file referenced by an environment variable; if exposed, Google Analytics data could be read
  • Queries are generated by an LLM and may produce inaccurate or unintended reporting requests
  • Network access to the Google Analytics APIs is required
  • 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 clientsGemini CLI, Gemini Code Assist, Claude CodeClaude Desktop, Claude Code, Codex, Other MCP stdio clients
Tools711