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DimensionAlpaca MCP ServerAlpaca's official MCP server for trading stocks, ETFs, crypto, and options via natural language.Context7Upstash's official server providing up-to-date third-party library docs for AI coding assistants
FMRS62 / 100 · C80 / 100 · B
Reliability10 / 2014 / 20
Security and permissions12 / 2016 / 20
Maintenance10 / 2017 / 20
Documentation16 / 2015 / 20
Setup experience14 / 2018 / 20
Best for
  • Developers who want to automate trading
  • Users who want to use AI assistants for investment research and trade execution
  • Traders familiar with Alpaca brokerage services
  • Developers using fast-moving frameworks/libraries worried about the AI suggesting stale code
  • Scenarios wanting zero-config documentation lookup
Not for
  • Users who need a hosted remote MCP server (Alpaca does not provide hosted service)
  • Users who want to trade mutual funds or futures (not supported)
  • Users who need to view Broker API docs (server excludes Broker API endpoints)
  • Looking up internal/private codebase documentation (Context7 targets publicly published open-source libraries)
  • Cases needing very high coverage of obscure, niche libraries (coverage depends on what Context7's platform has indexed)
Required permissions
  • Access Alpaca account information (balances, positions, orders)
  • Place orders on behalf of the user (buy, sell, cancel)
  • Read market data and news
  • Read Alpaca documentation
  • Usable without an API key (subject to a free-tier rate limit); CONTEXT7_API_KEY is an optional credential for higher quota
  • Read-only documentation lookup — no code execution or local filesystem access involved
Risks and side effects
  • The server can execute real trades, potentially leading to financial loss
  • API keys are sensitive credentials and should be handled securely
  • Options and crypto trading carry high risk and are not suitable for all investors
  • Algorithmic outputs are based on historical data and may not predict future markets
  • The free tier has limited quota — high-frequency use may hit rate limits
  • Documentation content comes from Context7's platform index, so its accuracy and freshness depend on that platform's crawl cadence
Supported clientsClaude Desktop, Cursor, VS Code, Claude Code, PyCharm, Antigravity CLI, ChatGPT, Claude MobileClaude Code, VS Code, Cursor, Cline, Amp
Tools742