RRepoGEO

REPOGEO REPORT · LITE

financial-datasets/mcp-server

Default branch main · commit 08e7a3db · scanned 5/11/2026, 2:17:35 AM

GitHub: 2,103 stars · 335 forks

AI VISIBILITY SCORE
35 /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
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 financial-datasets/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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README introduction to emphasize AI integration and data aggregation

    Why:

    CURRENT
    This is a Model Context Protocol (MCP) server that provides access to stock market data from Financial Datasets. It allows Claude and other AI assistants to retrieve income statements, balance sheets, cash flow statements, stock prices, and market news directly through the MCP interface.
    COPY-PASTE FIX
    This open-source Model Context Protocol (MCP) server empowers AI assistants like Claude to access a unified stream of real-time and historical financial market data. It aggregates stock market data, crypto prices, and company news from various providers, exposing it through a single, consistent interface specifically designed for AI integration.
  • mediumreadme#2
    Add a 'Why Use MCP Server?' section to the README

    Why:

    COPY-PASTE FIX
    ## Why Use the Financial Datasets MCP Server?
    
    While many direct APIs offer financial data, this MCP server provides a unified, self-hostable gateway specifically optimized for AI assistants. It simplifies integration by aggregating diverse data sources (stocks, crypto, news, financial statements) into a single, consistent interface, reducing the complexity of managing multiple API keys and data formats for your AI applications.

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 financial-datasets/mcp-server
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Polygon.io
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Polygon.io · recommended 1×
  2. Alpha Vantage · recommended 1×
  3. Finnhub.io · recommended 1×
  4. Twelve Data · recommended 1×
  5. EOD Historical Data · recommended 1×
  • CATEGORY QUERY
    How to enable an AI assistant to retrieve real-time stock market data and financial statements?
    you: not recommended
    AI recommended (in order):
    1. Polygon.io
    2. Alpha Vantage
    3. Finnhub.io
    4. Twelve Data
    5. EOD Historical Data
    6. FactSet
    7. Bloomberg Terminal

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

    Show full AI answer
  • CATEGORY QUERY
    Python tool to programmatically access historical crypto prices and company news for analysis?
    you: not recommended
    AI recommended (in order):
    1. CoinGecko API (man-group/pycoingecko)
    2. CoinAPI.io
    3. Alpha Vantage (RomelTorres/alpha_vantage)
    4. NewsAPI.org (NewsAPI/newsapi-python)
    5. Gnews.io
    6. Yahoo Finance (ranaroussi/yfinance)
    7. Beautiful Soup (BeautifulSoup/beautifulsoup4)
    8. Scrapy (scrapy/scrapy)

    AI recommended 8 alternatives but never named financial-datasets/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
    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 financial-datasets/mcp-server?
    pass
    AI named financial-datasets/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 financial-datasets/mcp-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI named financial-datasets/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 financial-datasets/mcp-server solve, and who is the primary audience?
    pass
    AI named financial-datasets/mcp-server explicitly

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

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
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