ros-mcp-server vs rosa
The two are close in size: 1.5k stars for ros-mcp-server, 1.6k for rosa. Over the days we have tracked them ros-mcp-server moved +7.4% and rosa +3%, so ros-mcp-server is growing faster right now.
They split the axes: ros-mcp-server leads on context depth, rosa on customization.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
Bridges ROS and the MCP standard to let LLMs fully observe and control robots without modifying robot source code.
- Stars
- 1.5k
- Tracked growth
- +7.4%
- Maturity
- ●●●●●
- Last commit
- 22h ago
- Language
- Python
- License
- Apache-2.0
- Cost to run
- Depends on external model providers; uses your model client / API key.
Integrates LangChain LLMs with live ROS1/ROS2 systems to let developers inspect, diagnose, and operate robots via natural language.
- Stars
- 1.6k
- Tracked growth
- +3%
- Maturity
- ●●●●●
- Last commit
- 183d ago
- Language
- Python
- License
- Apache-2.0
- Cost to run
- Your LLM/API key (your usage costs)
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | ros-mcp-server | rosa |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Full robot context | ●●●●● System-level context |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● Minimal guidance | ●●●●● None mentioned |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Minimal config | ●●●●● Custom agents & prompts |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Self-hostable | ●●●●● Self-hostable |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Any provider | ●●●●● Bring-your-own LLM |
Setup ease What it takes to get a first useful run out of it. | ●●●●● ROS setup required | ●●●●● Requires LLM & ROS |
Which one to pick
Pick ros-mcp-server if…
No robot code changes — pick this to add LLM control and observation to an existing ROS system with minimal integration effort and local deployment.
- Context depth: Full robot context (5/5 against 3/5)
Pick rosa if…
Robot-focused — use ROSA when you need a customizable, LangChain-based agent that directly interacts with ROS1/ROS2 robot state using your preferred LLM.
- Customization: Custom agents & prompts (5/5 against 2/5)
What people want from each one
robotmcp/ros-mcp-server
Questions people ask
Is ros-mcp-server better than rosa?
They split the axes: ros-mcp-server leads on context depth, rosa on customization. ros-mcp-server is worth picking when no robot code changes — pick this to add LLM control and observation to an existing ROS system with minimal integration effort and local deployment.
Which of ros-mcp-server and rosa keeps my code private?
ros-mcp-server: Self-hostable (4/5). rosa: Self-hostable (4/5).
What does each one cost to run?
ros-mcp-server: Depends on external model providers; uses your model client / API key.. rosa: Your LLM/API key (your usage costs).
Full profiles: robotmcp/ros-mcp-server and nasa-jpl/rosa. Everything else in Robotics & embodied.