%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Ros2mcp
ROS2MCP is a project that converts ROS 2 services and topics into MCP tools and resources. It supports running on Linux, macOS, and Windows and interacts with clients through the MCP protocol.
rating : 2 points
downloads : 2
What is the ROS2 MCP Server?
The ROS2 MCP Server is a middleware tool that can convert ROS 2 topics and services into resources or tools recognizable by the Model Context Protocol (MCP), enabling AI models to interact with the ROS 2 system through the MCP protocol.How to use the ROS2 MCP Server?
By starting the ROS2 MCP Server node, you can map ROS 2 topics and interfaces to MCP resources, and then connect an MCP client (such as OpenAI) to call these resources.Application Scenarios
Suitable for scenarios where ROS 2 systems need to be integrated with AI models, such as robot control, environmental perception, and autonomous navigation.Main Features
ROS 2 Service and Topic ConversionAutomatically convert ROS 2 services and topics into MCP tools and resources for easy invocation by AI models.
Parameter Description SupportExtract comments from ROS 2 interfaces and use them as parameter descriptions for MCP tools to improve usability.
Cross - Platform CompatibilitySupports running on Linux, macOS, and Windows, adapting to various development environments.
Advantages and Limitations
Advantages
Simplify the integration process between ROS 2 and AI models
Improve the flexibility and scalability of system interaction
Limitations
Requires a certain foundation of ROS 2 knowledge
Some complex interfaces may require additional configuration
How to Use
Install Dependencies
Ensure that ROS 2 and necessary development tools, such as Gazebo and Rviz2, are installed.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
Clone the Project
Clone the ROS2 MCP project from GitHub to your local machine.
Start the Simulation Environment
Use Pixi to start Gazebo and Rviz2 to test the robot system.
Run the MCP Server
Start the MCP server and load the ROS 2 interfaces.
Connect the MCP Client
Use OpenAI or other MCP clients to connect to the local server.
Usage Cases
Robot Positioning ControlCall the ROS 2 2D pose estimation service through MCP to achieve automatic positioning of the robot.
Sensor Data AcquisitionUse MCP to obtain lidar data for environmental modeling and obstacle detection.
Frequently Asked Questions
What software do I need to run the ROS2 MCP Server?
Does the MCP Server support all ROS 2 interfaces?
How to debug the MCP Server?
Related Resources
ROS2 MCP Project Homepage
The GitHub homepage of the project, containing code, documentation, and examples.
Model Context Protocol Documentation
The official documentation of the Model Context Protocol to understand its working principle.
ROS 2 Official Documentation
The complete technical documentation of ROS 2 to help you master the basic knowledge of ROS 2.
Featured MCP Services
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
150
4.3 points
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
199
4.5 points
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.8K
5 points
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
889
4.3 points
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
613
5 points
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
332
4.5 points
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
795
4.8 points