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DimensionDeepImageSearchDeepImageSearch is a Python library for fast and accurate image search, supporting text-to-image, image-to-image, and hybrid search.Hevy MCPManage your Hevy workout data from AI assistants via MCP.
FMRS46 / 100 · D77 / 100 · B
Reliability4 / 2012 / 20
Security and permissions9 / 2016 / 20
Maintenance11 / 2016 / 20
Documentation12 / 2018 / 20
Setup experience10 / 2015 / 20
Best for
  • AI agent developers needing fast and accurate image search capabilities.
  • Vision applications that require text, image, and hybrid search in one library.
  • Production environments needing scalable vector search (FAISS, ChromaDB, Qdrant) and metadata management.
  • 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
  • Users needing real-time video search or object detection.
  • End-users without Python or machine learning background.
  • Specific features requiring non-OpenAI-compatible LLM providers (though most OpenAI SDK endpoints work).
  • 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
  • Filesystem access: for indexing image folders or files.
  • Network access: for downloading model weights (e.g., CLIP) and calling LLM APIs (e.g., OpenAI).
  • Local resources: GPU (CUDA/MPS) acceleration if available.
  • 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
  • Privacy: image data may be sent to third-party LLM services when generating captions.
  • Performance: large-scale indexing can consume significant CPU/GPU and memory resources.
  • Dependency: relies on external models and vector databases, which may fail due to network or version changes.
  • 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 DesktopClaude Desktop, Cursor, Codex, Antigravity
Tools126