A Python-based server that enables AI assistants to control robots by integrating the Model Context Protocol (MCP) with ROS 2, allowing for natural language commands that translate into robot movement via the /cmd\_vel topic.
ros2-mcp-server
is a Python-based server that integrates the Model Context Protocol (MCP) with ROS 2, enabling AI assistants to control robots via ROS 2 topics. It processes commands through FastMCP and runs as a ROS 2 node, publishing geometry_msgs/Twist
messages to the /cmd_vel
topic to control robot movement.
This implementation supports commands like "move forward at 0.2 m/s for 5 seconds and stop," with the /cmd_vel
publisher named pub_cmd_vel
.
/cmd_vel
.asyncio
with ROS 2's event loop for efficient operation.rclpy
: ROS 2 Python client library (installed with ROS 2).fastmcp
: FastMCP framework for MCP server implementation.numpy
: Required by ROS 2 message types.Clone the Repository:
git clone https://github.com/kakimochi/ros2-mcp-server.git cd ros2-mcp-server
Python Version Configuration:
This project uses Python 3.10 as required by ROS 2 Humble. The .python-version
file is already configured:
# .python-version content 3.10
Project Dependencies:
The pyproject.toml
file is configured with the necessary dependencies:
# pyproject.toml content [project] name = "ros2-mcp-server" version = "0.1.0" description = "ROS 2 MCP Server" readme = "README.md" requires-python = ">=3.10" dependencies = [ "fastmcp", "numpy", ]
Create uv Environment:
uv venv --python /usr/bin/python3.10
Activate the Virtual Environment:
source .venv/bin/activate
You'll see (.venv)
appear at the beginning of your command prompt, indicating that the virtual environment is active.
Install Dependencies:
uv pip install -e .
To use this server with Claude or other MCP clients, you need to configure it as an MCP server. Here's how to set it up:
Open Claude Desktop settings and navigate to the MCP servers section.
Add a new MCP server with the following configuration:
"ros2-mcp-server": { "autoApprove": [], "disabled": false, "timeout": 60, "command": "uv", "args": [ "--directory", "/path/to/ros2-mcp-server", "run", "bash", "-c", "export ROS_LOG_DIR=/tmp && source /opt/ros/humble/setup.bash && python3 /path/to/ros2-mcp-server/ros2-mcp-server.py" ], "transportType": "stdio" }
Important: Replace /path/to/ros2-mcp-server
with the actual path to your repository. For example, if you cloned the repository to /home/user/projects/ros2-mcp-server
, you would use that path instead.
Save the configuration and restart Claude.
In VSCode, open the Cline extension settings by clicking on the Cline icon in the sidebar.
Navigate to the MCP servers configuration section.
Add a new MCP server with the following configuration:
"ros2-mcp-server": { "autoApprove": [], "disabled": false, "timeout": 60, "command": "uv", "args": [ "--directory", "/path/to/ros2-mcp-server", "run", "bash", "-c", "export ROS_LOG_DIR=/tmp && source /opt/ros/humble/setup.bash && python3 /path/to/ros2-mcp-server/ros2-mcp-server.py" ], "transportType": "stdio" }
Important: Replace /path/to/ros2-mcp-server
with the actual path to your repository, as in the Claude Desktop example.
You can immediately toggle the server on/off and verify the connection directly from the Cline MCP settings interface without needing to restart VSCode or reload the extension.
Once the MCP server is configured, you can use Claude to send commands to the robot:
Example Command: Ask Claude to move the robot forward at 0.2 m/s for 5 seconds:
Please make the robot move forward at 0.2 m/s for 5 seconds.
Direct Tool Usage:
You can also use the move_robot
tool directly:
{ "linear": [0.2, 0.0, 0.0], "angular": [0.0, 0.0, 0.0], "duration": 5.0 }
Monitor ROS 2 Topics:
Verify the /cmd_vel
topic output:
ros2 topic echo /cmd_vel
With a Simulator:
export TURTLEBOT3_MODEL=burger ros2 launch turtlebot3_gazebo turtlebot3_world.launch.py
With a Real Robot:
/cmd_vel
topic.Expected Output:
"Successfully moved for 5.0 seconds and stopped"
.ROS_LOG_DIR
environment variable is set to a writable directory (e.g., /tmp
).ros2-mcp-server/
├── ros2-mcp-server.py # Main server script integrating FastMCP and ROS 2
├── pyproject.toml # Project dependencies and metadata
├── .python-version # Python version specification
├── .gitignore # Git ignore file
└── README.md # This file
/cmd_vel
with Twist
messages. Extend ros2-mcp-server.py
for other topics or services.MIT License
Copyright (c) 2025 kakimochi
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Note that this project uses FastMCP, which is licensed under the Apache License 2.0. The terms of that license also apply to the use of FastMCP components.
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