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
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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.
- hightopics#1Add relevant topics to the repository
Why:
COPY-PASTE FIXai-agents, financial-data, stock-market, crypto, mcp-server, model-context-protocol, api, python
- highreadme#2Clarify the README introduction to emphasize its role as an AI agent server
Why:
CURRENTThis 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 FIXThe 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#3Add a 'Why Use This?' or 'Key Differentiators' section to the README
Why:
COPY-PASTE FIXAdd 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.
- Alpha Vantage · recommended 2×
- Financial Modeling Prep (FMP) API · recommended 2×
- Polygon.io · recommended 2×
- Quandl (now Nasdaq Data Link) · recommended 2×
- yfinance · recommended 2×
- CATEGORY QUERYHow can I integrate stock market data and financial statements into my AI agent?you: not recommendedAI recommended (in order):
- Alpha Vantage
- Financial Modeling Prep (FMP) API
- Polygon.io
- Quandl (now Nasdaq Data Link)
- yfinance
- EOD Historical Data
- Intrinio
AI recommended 7 alternatives but never named financial-datasets/mcp-server. This is the gap to close.
Show full AI answer
- CATEGORY QUERYPython library to access real-time and historical stock prices, balance sheets, and crypto data?you: not recommendedAI recommended (in order):
- yfinance
- EOD Historical Data (EODHD) API
- Alpha Vantage
- CoinGecko API
- Quandl (now Nasdaq Data Link)
- Financial Modeling Prep (FMP) API
- 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI 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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financial-datasets/mcp-server — 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