RRepoGEO

REPOGEO REPORT · LITE

wshobson/maverick-mcp

Default branch main · commit a00e488c · scanned 6/4/2026, 1:32:14 AM

GitHub: 576 stars · 139 forks

AI VISIBILITY SCORE
33 /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
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 wshobson/maverick-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
    Clarify the 'MCP' acronym in the README's introduction

    Why:

    CURRENT
    MaverickMCP is a personal-use FastMCP 2.0 server that provides professional-grade financial data analysis, technical indicators, and portfolio optimization tools directly to your Claude Desktop interface.
    COPY-PASTE FIX
    MaverickMCP (Maverick Client Protocol) is a personal-use FastMCP 2.0 server that provides professional-grade financial data analysis, technical indicators, and portfolio optimization tools directly to your Claude Desktop interface.
  • mediumreadme#2
    Emphasize AI integration as a core differentiator in 'Why MaverickMCP?'

    Why:

    CURRENT
    MaverickMCP provides professional-grade financial analysis tools directly within your Claude Desktop interface. Perfect for individual traders and investors who want comprehensive stock analysis capabilities without the complexity of expensive platforms or commercial services.
    COPY-PASTE FIX
    MaverickMCP provides professional-grade financial analysis tools directly within your Claude Desktop interface, offering a unique AI-powered approach to individual trading and investing. It eliminates the complexity of expensive platforms or commercial services by integrating seamlessly with your AI assistant for comprehensive stock analysis.
  • lowcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

Unlike generic data analysis tools like Python scripts or Jupyter Notebooks, MaverickMCP is a complete, self-hosted server specifically designed for AI-powered financial analysis. Compared to commercial platforms like QuantConnect or MetaTrader 5, MaverickMCP offers a private, authentication-free, and highly customizable solution for individual investors, integrating directly with AI assistants like Claude Desktop.

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 wshobson/maverick-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
QuantConnect/Lean
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. QuantConnect/Lean · recommended 1×
  2. MetaTrader 5 (MT5) · recommended 1×
  3. Python · recommended 1×
  4. jupyter/notebook · recommended 1×
  5. microsoft/vscode · recommended 1×
  • CATEGORY QUERY
    Looking for a self-hosted server to perform advanced stock market analysis and technical indicators.
    you: not recommended
    AI recommended (in order):
    1. QuantConnect LEAN (QuantConnect/Lean)
    2. MetaTrader 5 (MT5)
    3. Python
    4. Jupyter Notebooks (jupyter/notebook)
    5. VS Code (microsoft/vscode)
    6. Pandas (pandas-dev/pandas)
    7. NumPy (numpy/numpy)
    8. TA-Lib (TA-Lib/ta-lib)
    9. Backtrader (mementum/backtrader)
    10. Alpha Vantage
    11. Polygon.io
    12. R
    13. RStudio Server (rstudio/rstudio)
    14. quantmod (quantmod/quantmod)
    15. TTR (joshuaulrich/TTR)
    16. xts (joshuaulrich/xts)
    17. Apache Spark (apache/spark)
    18. Hadoop (apache/hadoop)
    19. TradingView

    AI recommended 19 alternatives but never named wshobson/maverick-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to get AI-powered financial analysis and portfolio optimization for individual equity trading?
    you: not recommended
    AI recommended (in order):
    1. Composer.trade
    2. QuantConnect (Lean)
    3. Alpaca Forecast AI
    4. TrendSpider
    5. Koyfin (with AI features)
    6. Trade Ideas

    AI recommended 6 alternatives but never named wshobson/maverick-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
    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 wshobson/maverick-mcp?
    pass
    AI did not name wshobson/maverick-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?

  • If a team adopts wshobson/maverick-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wshobson/maverick-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 wshobson/maverick-mcp solve, and who is the primary audience?
    pass
    AI named wshobson/maverick-mcp explicitly

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

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wshobson/maverick-mcp — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite