ROS & LLM Integration Bridge

Item: ROS & LLM Integration Bridge
Rating: 69
Author: M8ven

Enables large language models to interact with ROS robots seamlessly, allowing natural language control, real-time sensor monitoring, and autonomous task execution without modifying existing robot code.

→ Ankit-Paliwal/MCP-SERVER-FOR-ROS · listed on glama

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// key findings

✅

31 tools verified — handlers match their declared behaviour

23 read-only tools verified — handlers contain no write/delete/exec

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configROSBRIDGE_IP

configROSBRIDGE_PORT

configROS_DEFAULT_TIMEOUT

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/ankit-paliwal-mcp-server-for-ros-v5gji2)](https://m8ven.ai/mcp/ankit-paliwal-mcp-server-for-ros-v5gji2)

commit: 0daac879b42a2b18f342af403748eb5f9d61d7cc

code hash: 99354ce48e3165c87b12c86e6115c7738e962c1d618c13030beb5633efbbe90b

verified: 7/18/2026, 8:08:26 AM

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