ros-mcp-server: Connect AI models like Claude & GPT with robots using MCP and ROS

by robotmcp · MCP Server · ★ 1.5k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

mcpmcp-servermodelcontextprotocolrosros-mcp-serverros2ros2-mcp-server

Quick Facts

Stars1,505
Forks218
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score62/100
Open Issues70
Last Updated2026-10-23
Created2025-04-11
Platformsclaude-code, mcp, python
Est. Tokens~14k

About ros-mcp-server

ROS MCP Server 🧠⇄🤖 ROS-MCP-Server connects large language models (such as Claude, GPT, and Gemini) with existing robots giving them bidirectional AI integration. With no changes to existing robot source code, this enables: 🗣 Commanding the robot in natural language → instructions are translated into ROS/ROS2 commands.

Compatible Skills

These tools work well together with ros-mcp-server for enhanced workflows:

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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