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

DimensionITASCA MCP ServerDrive ITASCA geotechnical and geomechanics simulations through natural conversationHevy MCPManage your Hevy workout data from AI assistants via MCP.
FMRS55 / 100 · C77 / 100 · B
Reliability10 / 2012 / 20
Security and permissions9 / 2016 / 20
Maintenance12 / 2016 / 20
Documentation13 / 2018 / 20
Setup experience11 / 2015 / 20
Best for
  • Geotechnical and geomechanics engineers who already have an ITASCA engine installed and want to drive simulations through an AI agent by natural conversation
  • Users who frequently need to look up PFC/FLAC/3DEC/MPoint/MassFlow commands and Python API documentation
  • Researchers who submit and monitor long-running simulations while iterating on code
  • Technical teams using MCP clients such as Claude Code, Codex CLI, or Gemini CLI
  • 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 without any ITASCA engine installed — the execution tools depend on a local engine and bridge and cannot run simulations on their own
  • Users expecting official ITASCA support or certification; this is a community project
  • Users looking for browser, database, or cloud-storage capabilities rather than geomechanics simulation
  • Users wanting a fully zero-configuration experience — first-time setup requires registering the MCP server and starting the bridge in the engine
  • 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
  • Run uvx locally and download/execute the itasca-mcp package from PyPI
  • Execute code in the ITASCA engine's IPython console to start the bridge (addon.py or itasca_mcp_bridge.start())
  • Submit code and simulation tasks to the running ITASCA engine through the bridge and read task state and results
  • Network access to PyPI at bridge startup to check for and possibly self-upgrade to a newer release
  • Read and write MCP client configuration files to register the server
  • 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
  • The execution tools run code and simulations in a real ITASCA engine; wrong commands or parameters can produce incorrect results or consume significant compute time and resources
  • The bridge automatically checks PyPI and self-upgrades, pulling in updates without per-update user confirmation, which introduces supply-chain risk
  • Documentation browsing reduces but cannot fully eliminate hallucinated commands produced by the model
  • Long-running simulations, if not properly monitored or interrupted, can tie up machine resources for a long time
  • This is a community project rather than an official ITASCA release, so compatibility and maintenance cadence are not guaranteed by the upstream vendor
  • 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 Code, Codex, Gemini CLI, GitHub Copilot CLI, OpenCodeClaude Desktop, Cursor, Codex, Antigravity
Tools126