RRepoGEO

REPOGEO REPORT · LITE

robotmcp/ros-mcp-server

Default branch main · commit f1c023bb · scanned 6/25/2026, 4:17:04 AM

GitHub: 1,313 stars · 197 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface robotmcp/ros-mcp-server, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add LLM, AI, and robotics-specific topics

    Why:

    CURRENT
    mcp, mcp-server, modelcontextprotocol, ros, ros-mcp-server, ros2, ros2-mcp-server
    COPY-PASTE FIX
    mcp, mcp-server, modelcontextprotocol, ros, ros-mcp-server, ros2, ros2-mcp-server, large-language-models, llm, ai, ai-agent, robotics, robot-control
  • mediumreadme#2
    Strengthen README's opening sentence to position as a definitive framework

    Why:

    CURRENT
    ROS-MCP-Server connects large language models (such as Claude, GPT, and Gemini) to robots, enabling bidirectional communication with no changes to existing robot source code.
    COPY-PASTE FIX
    ROS-MCP-Server is the definitive framework for connecting large language models (such as Claude, GPT, and Gemini) to robots, enabling bidirectional communication with no changes to existing robot source code.
  • lowcomparison#3
    Add a dedicated 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## 🆚 Comparison with Alternatives

While solutions like ros_llm and ros_bt_llm offer LLM integration with ROS, ROS-MCP-Server stands out by providing true two-way communication, deep ROS understanding for automatic discovery of topics/services/actions (including custom types), and compatibility across ROS 1 and ROS 2 without requiring changes to existing robot source code. Our approach leverages the open Model Context Protocol (MCP) for broader client support.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface robotmcp/ros-mcp-server
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ROS 2
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ROS 2 · recommended 2×
  2. ros_llm · recommended 1×
  3. ros_bt_llm · recommended 1×
  4. OpenAI API · recommended 1×
  5. GPT-3.5 · recommended 1×
  • CATEGORY QUERY
    How to integrate large language models with ROS robots for control and observation?
    you: not recommended
    AI recommended (in order):
    1. ROS 2
    2. ros_llm
    3. ros_bt_llm
    4. OpenAI API
    5. GPT-3.5
    6. GPT-4
    7. openai Python library
    8. Hugging Face Transformers Library
    9. Llama 2
    10. Mistral
    11. Falcon
    12. LangChain
    13. Google Cloud Vertex AI
    14. Azure OpenAI Service
    15. PaLM 2
    16. Gemini
    17. google-cloud-aiplatform
    18. RL-GPT
    19. Stable Baselines3
    20. Ray RLLib
    21. Habitat
    22. Isaac Sim

    AI recommended 22 alternatives but never named robotmcp/ros-mcp-server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools facilitate AI agent interaction with ROS 1 or ROS 2 systems?
    you: not recommended
    AI recommended (in order):
    1. ROS 2
    2. ROS 1
    3. ROS-Industrial
    4. MoveIt
    5. OpenCV
    6. Gazebo
    7. PyRobot

    AI recommended 7 alternatives but never named robotmcp/ros-mcp-server. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of robotmcp/ros-mcp-server?
    pass
    AI named robotmcp/ros-mcp-server explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts robotmcp/ros-mcp-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI named robotmcp/ros-mcp-server explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo robotmcp/ros-mcp-server solve, and who is the primary audience?
    pass
    AI named robotmcp/ros-mcp-server explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite