M
MCP Directory CURATED DIRECTORY
911 MCP servers indexed
中文
← Back to directory
COMPARE UP TO 4 SERVERS

Compare MCP servers

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

DimensionYouTube Data MCP ServerHigh-efficiency YouTube MCP server for AI agentsHevy MCPManage your Hevy workout data from AI assistants via MCP.
FMRS62 / 100 · C77 / 100 · B
Reliability10 / 2012 / 20
Security and permissions12 / 2016 / 20
Maintenance12 / 2016 / 20
Documentation14 / 2018 / 20
Setup experience14 / 2015 / 20
Best for
  • LLM agents that need to minimize token consumption.
  • Users who frequently access YouTube data and want to protect API quotas.
  • Developers seeking a high-quality, well-tested MCP server.
  • 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 raw, unoptimized YouTube API responses with all nested fields.
  • Users requiring real-time or very fresh data (caching may introduce staleness).
  • Users without MongoDB who want to use the `findConsistentOutlierChannels` tool.
  • 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
  • Network access to the YouTube Data API v3.
  • Optional: Access to API key from environment variables.
  • Optional: Access to MongoDB connection string for caching.
  • 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 exposure: Stored in env vars, risk of accidental commit if misconfigured.
  • API quota exhaustion: Search tools still cost significant units (e.g., search 100 units) despite optimizations.
  • Data caching may return stale info; avoid enabling MongoDB if not needed.
  • Dependency on a third-party server (non-official), subject to changes as YouTube API evolves.
  • 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, CursorClaude Desktop, Cursor, Codex, Antigravity
Tools926