Maverick MCP
Personal stock analysis MCP server built on FastMCP 2.0 providing 39+ financial tools including technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands), VectorBT-powered backtesting with 15+ strategies and ML algorithms, stock screening, portfolio optimization, and AI-powered research agents. Pre-seeded with 520 S&P 500 stocks.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
General-purpose MCP server toolkit. Security depends on enabled tools. Follow least-privilege for each tool exposed. Validate all inputs before executing.
⚡ Reliability
Best When
You want comprehensive personal stock analysis tools directly accessible from Claude Desktop or other MCP clients, with backtesting capabilities and no commercial platform subscription fees.
Avoid When
You need production-grade trading infrastructure, real-time data feeds, or regulatory-compliant financial tools. Also avoid if you don't want to manage API keys for data providers.
Use Cases
- • Personal stock screening and analysis via Claude Desktop
- • Backtesting trading strategies with historical data
- • Technical indicator computation across portfolios
- • Portfolio correlation analysis and optimization
- • AI-powered financial research with multiple LLM backends
Not For
- • Production trading systems or automated order execution
- • Institutional-grade compliance or audit requirements
- • Real-time streaming market data
- • Cryptocurrency analysis
Interface
Authentication
Requires TIINGO_API_KEY (mandatory, free tier available). Optional: OPENROUTER_API_KEY (recommended for AI research), EXA_API_KEY (web search), plus fallback keys for OpenAI, Anthropic, FRED, Tavily.
Pricing
MIT licensed. Costs come from third-party API usage (Tiingo, OpenRouter, etc.), not the tool itself.
Agent Metadata
Known Gotchas
- ⚠ Requires TA-Lib system library installation (not just pip) which can be tricky on some platforms
- ⚠ SSE endpoint URL requires trailing slash (http://localhost:8003/sse/)
- ⚠ Multiple API keys needed for full functionality -- partial setup gives partial features
- ⚠ Pre-seeded database only covers S&P 500 stocks
- ⚠ Python 3.12+ required specifically
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Maverick MCP.
Scores are editorial opinions as of 2026-03-06.