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DimensionAI Vision MCP ServerAI-powered image and video analysis MCP server using Gemini and Vertex AIBioMCPOne binary. One grammar. Evidence from the biomedical sources you already trust.
FMRS64 / 100 · C75 / 100 · B
Reliability10 / 2010 / 20
Security and permissions14 / 2016 / 20
Maintenance12 / 2018 / 20
Documentation15 / 2017 / 20
Setup experience13 / 2014 / 20
Best for
  • Developers looking to quickly integrate AI vision capabilities, especially within Google's AI ecosystem.
  • Design teams needing UI/UX compliance and accessibility audits.
  • Workflows requiring automated image and video analysis.
  • Biomedical researchers
  • Clinicians
  • AI agents that need efficient access to biomedical literature and data analysis
Not for
  • Not suitable for scenarios requiring offline or on-premise AI models.
  • Not for integrations with non-Google cloud resources (e.g., AWS).
  • May not be ideal for complex video editing or real-time streaming needs.
  • 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
  • Requires access to Google AI Studio API or Vertex AI API credentials.
  • For local file analysis, needs read access to the local filesystem.
  • If using Vertex AI, needs access to a Google Cloud Storage bucket.
  • For video analysis, needs access to YouTube or local video files.
  • 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 leakage: environment variables contain sensitive credentials; store them securely.
  • Data privacy: images/videos sent to Google Cloud may contain sensitive information; ensure compliance.
  • Cost: API usage may incur costs based on volume.
  • Potential timeout or transport errors if not configured properly.
  • 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, Cursor, ClineClaude Desktop, Claude Code, Codex, Other MCP stdio clients
Tools511