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

DimensionGoogle Search Console MCP ServerAnalyze Google Search Console SEO data through natural-language chats with your AI assistantHevy 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
FMRS63 / 100 · C77 / 100 · B75 / 100 · B
Reliability10 / 2012 / 2013 / 20
Security and permissions10 / 2016 / 2012 / 20
Maintenance13 / 2016 / 2016 / 20
Documentation16 / 2018 / 2017 / 20
Setup experience14 / 2015 / 2017 / 20
Best for
  • SEO practitioners who regularly analyze GSC search performance data
  • Users of MCP-compatible clients such as Claude Desktop, Cursor, Codex CLI, Gemini CLI, or Antigravity
  • Individuals and small teams who prefer natural-language conversation over manually exporting reports
  • Users willing to configure their own Google Cloud credentials and run the server locally
  • 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 who only want claude.ai in the browser and won't install the desktop app (the MCP server runs locally)
  • Users who don't want to create a Google Cloud project and API credentials
  • Users who need a hosted one-click sign-in with GA4 tools (the source points to a separate hosted version limited to 100 seats)
  • Users running a cloned install on Python 3.10 or older
  • 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
  • Google Search Console API access (read search analytics and site data)
  • OAuth path requires Google account authorization, with the token cached locally
  • Service account path requires adding the service account email as a Full access user on your GSC property
  • Credential JSON file paths are provided by the user via the client config env
  • Destructive operations (add_site, delete_site, delete_sitemap) are disabled by default and require explicitly setting GSC_ALLOW_DESTRUCTIVE=true
  • 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
  • Credential JSON files contain sensitive keys and must be protected and kept out of version control
  • If GSC_ALLOW_DESTRUCTIVE is enabled, the AI assistant can perform destructive actions such as adding/removing sites and deleting sitemaps
  • Remote deployment with sse transport bound to 0.0.0.0 exposes the service on the network, so you must assess access-control risk yourself
  • OAuth tokens are cached in the local platform user config directory, which may have access boundaries on multi-user machines
  • Service account keys are long-lived, so a leak has a broad impact
  • 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 CLI, Gemini CLI, AntigravityClaude Desktop, Cursor, Codex, Google AntigravityClaude Desktop, VS Code, Cursor, Windsurf, Zed, Amp
Tools152611