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Compare MCP servers

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

DimensionAI Vision MCP ServerAI-powered image and video analysis MCP server using Gemini and Vertex AIHevy MCPManage your Hevy workout data from AI assistants via MCP.
FMRS64 / 100 · C77 / 100 · B
Reliability10 / 2012 / 20
Security and permissions14 / 2016 / 20
Maintenance12 / 2016 / 20
Documentation15 / 2018 / 20
Setup experience13 / 2015 / 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.
  • Hevy PRO users who want AI assistants to directly access their workout data
  • People who prefer using MCP clients like Claude, Cursor, Codex for fitness tracking
  • Anyone needing summaries and insights from their training data
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 without a Hevy PRO subscription (API key required)
  • Users who want to use the server without an API key
  • Those needing delete workflows (Hevy API does not expose delete endpoints)
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 HEVY_API_KEY environment variable for Hevy API authentication
  • Can create, update, and replace workouts, routines, folders, templates, and body measurements via tools
  • Read operations can fetch workouts, routines, folders, templates, history, and user info
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.
  • API key can be misused if leaked; do not expose in URLs, logs, or screenshots
  • Create operations may produce duplicates on retry; update operations replace existing records
  • The server sends data to the Hevy API and may send telemetry to external services unless disabled
Supported clientsClaude Desktop, Claude Code, Cursor, ClineClaude Desktop, Cursor, Codex, Antigravity
Tools526