RRepoGEO

REPOGEO REPORT · LITE

jjsantos01/qgis_mcp

Default branch main · commit e37bf6f0 · scanned 5/31/2026, 2:58:10 PM

GitHub: 963 stars · 158 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 jjsantos01/qgis_mcp, 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
  • highreadme#1
    Reposition the README's opening to clarify AI agent control of QGIS

    Why:

    CURRENT
    QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control QGIS.
    COPY-PASTE FIX
    QGISMCP is a framework that enables Large Language Models (LLMs) and AI agents to directly control and automate QGIS Desktop via the Model Context Protocol (MCP).
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    qgis, llm, ai-agent, geospatial, automation, python, model-context-protocol, gis
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file to the repository root containing the text of a permissive open-source license, such as the MIT License.

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 jjsantos01/qgis_mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/openai-python
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/openai-python · recommended 1×
  2. huggingface/transformers · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. google/generative-ai-python · recommended 1×
  5. Microsoft Azure OpenAI Service · recommended 1×
  • CATEGORY QUERY
    How can I use large language models to automate geospatial tasks in QGIS?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API (openai/openai-python)
    2. Hugging Face Transformers Library (huggingface/transformers)
    3. LangChain (langchain-ai/langchain)
    4. Google Gemini API (google/generative-ai-python)
    5. Microsoft Azure OpenAI Service

    AI recommended 5 alternatives but never named jjsantos01/qgis_mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework allows AI agents to control QGIS desktop applications via natural language?
    you: not recommended
    AI recommended (in order):
    1. PyQGIS
    2. QGIS Processing Framework
    3. OpenAI GPT-4
    4. GPT-3.5 Turbo
    5. Llama 3
    6. Mistral AI models
    7. Google Gemini Pro
    8. Python
    9. Streamlit
    10. Gradio
    11. PyQt
    12. PySide

    AI recommended 12 alternatives but never named jjsantos01/qgis_mcp. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    Suggestion:

  • 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 jjsantos01/qgis_mcp?
    pass
    AI named jjsantos01/qgis_mcp explicitly

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

  • If a team adopts jjsantos01/qgis_mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jjsantos01/qgis_mcp 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 jjsantos01/qgis_mcp solve, and who is the primary audience?
    pass
    AI did not name jjsantos01/qgis_mcp — likely talking about a different project

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

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jjsantos01/qgis_mcp — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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