← Back to directory
COMPARE UP TO 4 SERVERS

Compare MCP servers

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

DimensionArionThe first agentic AI desktop app for geospatial analysisHevy MCPManage your Hevy workout data from AI assistants via MCP.Firecrawl MCP ServerFirecrawl's official MCP server for web search, scraping, and structured extraction for AI agents
FMRS37 / 100 · D77 / 100 · B75 / 100 · B
Reliability3 / 2012 / 2013 / 20
Security and permissions7 / 2016 / 2012 / 20
Maintenance13 / 2016 / 2016 / 20
Documentation9 / 2018 / 2017 / 20
Setup experience5 / 2015 / 2017 / 20
Best for
  • Geospatial analysts wanting a unified desktop GIS + AI workflow
  • Developers who want to run local LLMs and connect custom MCP tools
  • Open-source users comfortable building from source under GPL-3.0
  • 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
Not for
  • Users looking for an MCP server entry to configure in clients like Claude Desktop (Arion is not an MCP server and ships no server manifest)
  • Users who need official turn-key installers (binary releases are not yet published)
  • Non-technical users unwilling to build an Electron app and compile native modules
  • 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)
Required permissions
  • Local file system read/write for app data (SQLite) and the knowledge base (PGlite)
  • Network access to call cloud LLM provider APIs
  • Access to a local Ollama instance if local models are configured
  • Execution of system GDAL binaries for raster processing
  • Connections to user-defined MCP servers and execution of their tools
  • 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
Risks and side effects
  • The project is early-stage (v0.0.14); several features (plugin system, Python agent runtimes, SpatiaLite integration) are planned only
  • Building from source is required; native modules (better-sqlite3, keytar) can fail to compile
  • Connecting custom MCP servers executes external code whose safety you must evaluate yourself
  • With cloud LLMs, query content is sent to third-party APIs
  • 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
Supported clientsClaude Desktop, Cursor, Codex, Google AntigravityClaude Desktop, VS Code, Cursor, Windsurf, Zed, Amp
Tools02611