| FMRS | 64 / 100 · C | 77 / 100 · B | 75 / 100 · B |
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| Reliability | 10 / 20 | 12 / 20 | 13 / 20 |
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| Security and permissions | 14 / 20 | 16 / 20 | 12 / 20 |
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| Maintenance | 12 / 20 | 16 / 20 | 16 / 20 |
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| Documentation | 15 / 20 | 18 / 20 | 17 / 20 |
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| Setup experience | 13 / 20 | 15 / 20 | 17 / 20 |
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| 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
| - Scenarios needing clean, structured web context fed to an AI assistant
- Users already on the Firecrawl platform who want to call its scraping capability directly via MCP
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| 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)
| - Simple static-page scraping where you don't want to depend on a third-party API and incur call costs
- Sites that explicitly disallow automated access (robots.txt)
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| 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
| - Requires a Firecrawl API key to call; cost and quota are governed by the Firecrawl account
- firecrawl_agent/firecrawl_interact perform automated browser interaction, which may trigger login or form-submission flows on the target site
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| 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
| - Bulk crawl/map tools can generate significant request volume against a target site — respect the site's rate limits and terms of service
- firecrawl_agent's interactive action chain is longer — define task boundaries clearly before running it to avoid accidentally triggering actions on a sensitive site
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| Supported clients | Claude Desktop, Claude Code, Cursor, Cline | Claude Desktop, Cursor, Codex, Google Antigravity | Claude Desktop, VS Code, Cursor, Windsurf, Zed, Amp |
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| Tools | 5 | 26 | 11 |
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