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DimensionROS MCP ServerConnect AI models to ROS robots through MCP.Firecrawl MCP ServerFirecrawl's official MCP server for web search, scraping, and structured extraction for AI agents
FMRS47 / 100 · D75 / 100 · B
Reliability9 / 2013 / 20
Security and permissions6 / 2012 / 20
Maintenance11 / 2016 / 20
Documentation11 / 2017 / 20
Setup experience10 / 2017 / 20
Best for
  • Robotics developers using ROS 1 or ROS 2
  • Teams that want MCP clients to observe or control robots
  • Robot diagnosis, experimentation, and simulation
  • 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
  • Systems that do not use ROS or ROS 2
  • AI applications expected to run independently without a ROS connection
  • Production deployments requiring guaranteed authentication or authorization, which are not described in the source
  • 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
  • Access ROS topics, services, actions, and parameters
  • Read sensor data and robot state
  • Publish messages, call services or actions, and set parameters when requested
  • Add a rosbridge node to the existing ROS setup
  • 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
  • Natural-language requests may trigger control operations on real robots
  • Changing parameters or calling services and actions may affect robot state and surrounding equipment
  • The source does not describe authentication, authorization, or safety controls
  • 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 Code, Codex, Gemini CLI, Claude Desktop, ChatGPT, CursorClaude Desktop, VS Code, Cursor, Windsurf, Zed, Amp
Tools011