TradingAgents MCP
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- AlicenseNot gradedqualityBmaintenanceProvides market intelligence tools for crypto, Korean market, US equities, options, and backtests, as well as personal trading journal access, through MCP.19 PyPIMIT
- AlicenseCqualityDmaintenanceEnables querying real-time and historical financial market data for stocks, options, forex, and crypto, including quotes, trades, technical indicators, and reference data through a set of MCP tools.713MIT
- FlicenseNot gradedqualityDmaintenanceEnables portfolio risk assessment, sentiment analysis, and investment recommendations via MCP tools.-
- AlicenseNot gradedqualityBmaintenanceQuantitative research, backtesting, creator-marketplace subscriptions, editable strategy forks, continuous copy trading, and controlled brokerage execution through 125 MCP tools.379 npm10MIT
- AlicenseNot gradedqualityBmaintenanceEnables access to Intrinio's premium financial data through MCP tools for options chains, unusual options activity, analyst estimates, and target prices.149 npm1MIT
- AlicenseNot gradedqualityAmaintenanceEnables natural-language financial research by querying SEC filings, earnings transcripts, company financials, stock and crypto market data, news, and prediction markets through source-backed tools. It also provides deep research, historical prediction-market data, and live documentation access for MCP clients.MIT
TDQS
Scored across 24 tools
Most tools target clearly distinct resources or analysis stages, and descriptions make boundaries explicit. There is some overlap between market_snapshot, price_history, and technical_indicators, and between fundamentals and financial_statement, but these are differentiated enough for an agent to choose correctly.
All names use snake_case, so the casing convention is consistent. However, the naming style is mixed between noun phrases such as market_snapshot and fundamentals and verb_noun actions such as list_reports and save_analysis, so there is no single predictable verb_noun pattern.
The 24-tool surface is broad and mostly justified by the trading-analysis domain, but it is heavy and includes several related data-access tools that could be consolidated. It sits at the borderline where the count starts to feel large for one server.
The set covers the full trading-analysis workflow: instrument identification, market and technical data, fundamentals, statements, news, social sentiment, macro data, options analysis and strategy pricing, report saving/annotation, backtest review, and decision memory/settlement. No major dead ends are apparent for the stated purpose, with portfolio or order execution likely out of scope.