RRepoGEO

REPOGEO REPORT · LITE

alpacahq/alpaca-mcp-server

Default branch main · commit 397cf368 · scanned 6/16/2026, 1:18:42 PM

GitHub: 824 stars · 243 forks

AI VISIBILITY SCORE
40 /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
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 alpacahq/alpaca-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
  • highreadme#1
    Reposition the README's opening paragraph to be more action-oriented

    Why:

    CURRENT
    A comprehensive Model Context Protocol (MCP) server for Alpaca's Trading API. Enable natural language trading operations through AI assistants like Claude, Cursor, and VS Code. Supports stocks, options, crypto, portfolio management, and real-time market data.
    COPY-PASTE FIX
    Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs
  • mediumtopics#2
    Add more specific topics related to LLM integration and natural language trading

    Why:

    CURRENT
    ai-trading, algorithmic-trading, crypto, etfs, mcp, mcp-server, options, stocks, trading, trading-api
    COPY-PASTE FIX
    ai-trading, algorithmic-trading, crypto, etfs, mcp, mcp-server, options, stocks, trading, trading-api, llm-integration, natural-language-trading, ai-assistant-trading, ide-trading
  • lowfaq#3
    Add an FAQ section to clarify the repo's role compared to generic LLM APIs

    Why:

    COPY-PASTE FIX
    ## Frequently Asked Questions

### How is Alpaca MCP Server different from using a generic LLM API (like OpenAI API) directly for trading?

Alpaca MCP Server provides a structured, secure, and Alpaca-specific integration layer, translating natural language commands into robust trading operations via Alpaca's APIs. It handles authentication, market data access, order execution, and portfolio management, offering a ready-to-use framework specifically designed for financial interactions, unlike generic LLM APIs which require extensive custom development for similar functionality.

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 alpacahq/alpaca-mcp-server
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. OpenAI API · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. psf/requests · recommended 1×
  5. vllm-project/vllm · recommended 1×
  • CATEGORY QUERY
    How can I integrate an LLM with a trading platform for stocks and crypto?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. OpenAI API
    3. Hugging Face Transformers (huggingface/transformers)
    4. requests library (psf/requests)
    5. vLLM (vllm-project/vllm)
    6. TGI (huggingface/text-generation-inference)
    7. Alpaca (API)
    8. LangChain (langchain-ai/langchain)
    9. Interactive Brokers (IBKR API)
    10. ib_insync library (erdewit/ib_insync)
    11. MetaTrader 5 (MT5)
    12. MetaTrader5 Python package (MetaQuotes/MetaTrader5)
    13. CCXT (CryptoCurrency eXchange Trading Library) (ccxt/ccxt)

    AI recommended 13 alternatives but never named alpacahq/alpaca-mcp-server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for developing trading strategies using natural language commands in my IDE?
    you: not recommended
    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 alpacahq/alpaca-mcp-server?
    pass
    AI named alpacahq/alpaca-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 alpacahq/alpaca-mcp-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI named alpacahq/alpaca-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 alpacahq/alpaca-mcp-server solve, and who is the primary audience?
    pass
    AI named alpacahq/alpaca-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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite