RRepoGEO

REPOGEO REPORT · LITE

financial-datasets/mcp-server

Default branch main · commit 08e7a3db · scanned 6/21/2026, 5:03:29 AM

GitHub: 2,198 stars · 344 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)

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

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

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

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agents, financial-data, stock-market, crypto, mcp-server, model-context-protocol, api, python
  • highreadme#2
    Clarify the README introduction to emphasize its role as an AI agent server

    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
    The Financial Datasets MCP Server provides a specialized Model Context Protocol (MCP) interface, enabling AI agents like Claude to seamlessly access comprehensive stock market data. This server acts as a dedicated gateway, allowing AI assistants to directly retrieve financial statements, real-time and historical stock prices, and market news in a structured format optimized for AI consumption, differentiating it from raw data APIs or client libraries.
  • mediumreadme#3
    Add a 'Why Use This?' or 'Key Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, perhaps after 'Introduction' or 'Available Tools':
    
    ## Why Use the Financial Datasets MCP Server?
    
    Unlike direct API integrations or client libraries, this MCP server is specifically engineered to provide AI agents with structured, protocol-driven access to financial data. Key advantages include:
    
    *   **AI-Native Access:** Designed from the ground up for AI assistants, ensuring data is presented in a format optimized for model consumption.
    *   **Unified Protocol:** Standardizes access to diverse financial data (statements, prices, news, crypto) through a single, consistent Model Context Protocol interface.
    *   **Reduced Integration Complexity for AI:** Simplifies the process for AI agents to query and interpret complex financial information without needing to manage multiple API endpoints or data formats.
    *   **Focus on Agent Autonomy:** Empowers AI agents to independently retrieve and analyze financial data, enhancing their capabilities in financial analysis and decision-making.

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
Alpha Vantage
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Alpha Vantage · recommended 2×
  2. Financial Modeling Prep (FMP) API · recommended 2×
  3. Polygon.io · recommended 2×
  4. Quandl (now Nasdaq Data Link) · recommended 2×
  5. yfinance · recommended 2×
  • CATEGORY QUERY
    How can I integrate stock market data and financial statements into my AI agent?
    you: not recommended
    AI recommended (in order):
    1. Alpha Vantage
    2. Financial Modeling Prep (FMP) API
    3. Polygon.io
    4. Quandl (now Nasdaq Data Link)
    5. yfinance
    6. EOD Historical Data
    7. Intrinio

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

    Show full AI answer
  • CATEGORY QUERY
    Python library to access real-time and historical stock prices, balance sheets, and crypto data?
    you: not recommended
    AI recommended (in order):
    1. yfinance
    2. EOD Historical Data (EODHD) API
    3. Alpha Vantage
    4. CoinGecko API
    5. Quandl (now Nasdaq Data Link)
    6. Financial Modeling Prep (FMP) API
    7. Polygon.io

    AI recommended 7 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?

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  • Brand-free category queries5 vs 2 in Lite
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