RRepoGEO

REPOGEO REPORT · LITE

Mcp-Brasil/mcp-brasil

Default branch main · commit 7a7c49cd · scanned 5/13/2026, 5:12:13 PM

GitHub: 1,557 stars · 218 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 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 Mcp-Brasil/mcp-brasil, 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
    Clarify "MCP" acronym and AI agent focus in README H1/subtitle

    Why:

    CURRENT
    # mcp-brasil
    
    **MCP Server para 70 fontes de dados públicas brasileiras**
    COPY-PASTE FIX
    # mcp-brasil
    
    **Um MCP Server (Multi-source Connector Protocol) para conectar AI Agents a 70 fontes de dados públicas brasileiras**
  • highabout#2
    Update repository description to include AI agents and clarify MCP

    Why:

    CURRENT
    MCP Server para 70 APIs públicas brasileiras
    COPY-PASTE FIX
    Conecte AI agents (Claude, GPT, Copilot, etc.) a 70 APIs públicas brasileiras. Um Multi-source Connector Protocol (MCP) para dados governamentais.
  • mediumreadme#3
    Add a "Comparativo" section to README to differentiate from data portals

    Why:

    COPY-PASTE FIX
    ## Comparativo com outras plataformas de dados abertos brasileiros
    
    Enquanto plataformas como Brasil.IO e Dados Abertos Brasil oferecem acesso a dados governamentais, o mcp-brasil se diferencia por ser um **Multi-source Connector Protocol (MCP) otimizado para AI Agents**. Nosso foco é fornecer uma interface unificada e programática para que LLMs e outras IAs possam interagir diretamente com 70 APIs públicas brasileiras, transformando dados brutos em ferramentas e recursos prontos para uso em agentes autônomos. Diferente de portais de dados, mcp-brasil é uma camada de orquestração para IA.

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 Mcp-Brasil/mcp-brasil
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Python
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Python · recommended 1×
  2. Requests · recommended 1×
  3. Pandas · recommended 1×
  4. Beautiful Soup · recommended 1×
  5. Scrapy · recommended 1×
  • CATEGORY QUERY
    How to integrate AI agents with public Brazilian government data sources?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. Requests
    3. Pandas
    4. Beautiful Soup
    5. Scrapy
    6. dados.gov.br
    7. CKAN
    8. Google Cloud Platform (GCP)
    9. Cloud Storage
    10. BigQuery
    11. Cloud Functions
    12. AI Platform
    13. Amazon Web Services (AWS)
    14. S3
    15. Athena
    16. Lambda
    17. SageMaker
    18. Microsoft Azure
    19. Blob Storage
    20. Azure Synapse Analytics
    21. Azure Functions
    22. Azure Machine Learning
    23. Apache Airflow
    24. LangChain
    25. LlamaIndex
    26. PostgreSQL
    27. MySQL
    28. MongoDB

    AI recommended 28 alternatives but never named Mcp-Brasil/mcp-brasil. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide unified access to many public APIs for Brazilian government data?
    you: not recommended
    AI recommended (in order):
    1. Brasil.IO
    2. Dados Abertos Brasil
    3. Serenata de Amor
    4. DataViva
    5. Kaggle

    AI recommended 5 alternatives but never named Mcp-Brasil/mcp-brasil. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 Mcp-Brasil/mcp-brasil?
    pass
    AI named Mcp-Brasil/mcp-brasil explicitly

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

  • If a team adopts Mcp-Brasil/mcp-brasil in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Mcp-Brasil/mcp-brasil 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 Mcp-Brasil/mcp-brasil solve, and who is the primary audience?
    pass
    AI did not name Mcp-Brasil/mcp-brasil — 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite