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Compare MCP servers

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

DimensionAionUiFree, open-source Cowork desktop app that unifies a built-in agent, 20+ CLI agents, MCP tool config, and a built-in Team MCP Server.Hevy MCPManage your Hevy workout data from AI assistants via MCP.
FMRS44 / 100 · D77 / 100 · B
Reliability4 / 2012 / 20
Security and permissions6 / 2016 / 20
Maintenance15 / 2016 / 20
Documentation11 / 2018 / 20
Setup experience8 / 2015 / 20
Best for
  • Users who already run multiple CLI coding agents (Claude Code, Codex, Gemini CLI, etc.) and want one unified interface
  • Individuals or teams wanting local-only storage (SQLite) and control over which LLM API key/provider they use
  • Users who need scheduled automation or multi-channel remote access to an AI agent
  • 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
  • Use cases needing a lightweight, single-purpose MCP tool server
  • Users wanting a fully managed cloud service with no local install
  • Scenarios requiring an officially Anthropic- or protocol-maintained MCP server
  • 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
  • Local file system read/write access for agent file operations
  • Ability to execute locally installed CLI agents
  • Network access to call configured LLM provider APIs
  • Optional bot tokens and network access for chat-platform integrations (Telegram, Lark, DingTalk, WeChat)
  • Local SQLite database storage
  • 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
  • Agents get broad local file read/write and command-execution access, which requires trust before enabling
  • "YOLO Mode" and "Full-Auto Mode" auto-approve agent actions without confirmation, raising the risk of unintended file changes if misconfigured
  • Chat-platform integrations require storing bot tokens/credentials, which carries credential-exposure risk if mishandled
  • The project is maintained by a single company (iOfficeAI); evaluate its security practices and update cadence before granting broad automation permissions
  • 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, Cursor, Codex, Antigravity
Tools026