← Back to directory
COMPARE UP TO 4 SERVERS

Compare MCP servers

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

DimensionGBrainAn open-source brain layer for your AI agents, with synthesis, graph traversal, and gap analysis.Hevy 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
FMRS66 / 100 · C77 / 100 · B75 / 100 · B
Reliability8 / 2012 / 2013 / 20
Security and permissions13 / 2016 / 2012 / 20
Maintenance16 / 2016 / 2016 / 20
Documentation16 / 2018 / 2017 / 20
Setup experience13 / 2015 / 2017 / 20
Best for
  • Personal knowledge management that requires actual answers beyond search (synthesis + gap analysis)
  • Teams wanting to build shared institutional memory (with OAuth scoping)
  • AI agents needing persistent memory (automatic ingestion, enrichment, consolidation)
  • 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
  • Scenarios requiring real-time data streams (depends on scheduled syncs and crawling)
  • Users without API keys or willing to configure an embedding provider (requires at least one)
  • Users wanting a fully managed cloud service (requires self-hosting)
  • 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
  • Read/write access to local filesystem (for brain repo and imports)
  • Network access to external APIs (unlocks embedding providers, LLMs, ingestion webhooks)
  • Environment variable access for API keys (e.g., OPENAI_API_KEY, etc.)
  • Local database (PGLite or Postgres)
  • 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
  • Package confusion: the 'gbrain' package on npm is unrelated and may cause conflicts; install only from GitHub
  • Data privacy: local data is secure, but remote deployments must secure OAuth tokens and API keys
  • LLM costs: 'think' and synthesis features consume LLM API calls, incurring expenses
  • Performance issues: large brain syncs may take time or stall (troubleshooting provided)
  • 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, Claude Code, Codex, Cursor, Windsurf, Perplexity, ChatGPT, Claude CoworkClaude Desktop, Cursor, Codex, Google AntigravityClaude Desktop, VS Code, Cursor, Windsurf, Zed, Amp
Tools102611