pulsemcp Safe content atomic mcp-remote

ROS 2 Bridge

This MCP server bridges ROS 2 robotics systems with AI assistants by exposing ROS services as tools and topics as resources through the Model Context Protocol. Built by Nicolas Gres using Python with rclpy and uvicorn, it automatically discovers available ROS services and topics, converts ROS message schemas to JSON Schema for tool parameter validation, and provides real-time access to robot sensor data and control interfaces. The implementation features configurable filtering with wildcard patterns for selective service/topic exposure, automatic message type conversion including specialized handling for sensor images, and a complete demo setup with TurtleBot4 simulation including waypoint management and Nav2 navigation integration, making it valuable for building AI assistants that can directly control robots, analyze sensor data, and perform autonomous navigation tasks without manual ROS command-line interaction.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: iot-hardware
Source: PulseMCP
Repository: github.com/ngres/ros2mcp
Author type: human
Updated: 2026-04-25

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MCP

Resolve ROS 2 Bridge from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"