finance-mcp
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- AlicenseNot gradedqualityDmaintenanceProvides 10 financial data tools (market data, economic indicators, news, insider trades, and calendars) via a single MCP layer, enabling any MCP-compatible LLM to access diverse financial data through a unified interface.1MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights through a standardized MCP interface. It provides 250+ tools across categories such as financial statements, quotes, technical indicators, ETFs, crypto, forex, commodities, economics, and SEC filings.601 npmApache 2.0
- AlicenseNot gradedqualityBmaintenanceInstitutional financial data for AI agents: credit, private markets, options history, filings.MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to access and analyze financial data, including stocks, ETFs, crypto, forex, commodities, company fundamentals, financial statements, market news, and economic indicators through 250+ tools. Supports dynamic or static tool loading over HTTP/SSE for use with Claude and other MCP clients.601 npmApache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables MCP clients to retrieve US stock market OHLCV data, company fundamentals and financial statements, FRED macroeconomic indicators, market news, Reddit/StockTwits sentiment, and Polymarket prediction market probabilities via simple tools.MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights through 250+ tools covering equities, ETFs, crypto, forex, commodities, economics, and more. Supports dynamic or static toolsets over HTTP/SSE for integration with MCP clients.601 npmApache 2.0
TDQS
Scored across 11 tools
Each tool targets a distinct financial domain or action: quotes vs. history vs. symbol lookup, currencies vs. crypto, SEC documents vs. financials vs. text search, and macro indicators. Even similar tools like get_stock_quote and get_price_history are clearly separated by point-in-time vs. time series, and get_sec_filings vs. get_sec_financials by documents vs. numbers.
All tool names follow a consistent lowercase snake_case pattern with a leading verb: 'get_' for retrievals and 'search_' for searches. The object nouns are descriptive and hierarchical (e.g., crypto_price vs. crypto_market, sec_filings vs. sec_financials), making the pattern predictable and easy to navigate.
With 11 tools, the server strikes a balanced scope for a finance data provider. It covers equities, FX, crypto, SEC filings, insider activity, and macroeconomic indicators without unnecessary granularity or padding. Each tool addresses a distinct need, and the count is within the ideal 3–15 range.
The tool surface is remarkably complete for a read-only finance data API. It includes current prices, historical data, symbol resolution, FX conversion, crypto spot and market rankings, SEC document retrieval, full-text search, financial statement line items, insider trades, and World Bank macro indicators. There are no obvious gaps that would dead-end an agent for common finance workflows.