Financial Modeling Prep MCP Server
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- AlicenseNot gradedqualityDmaintenanceEnables Claude to access real-time stock data, financial statements, cryptocurrency information, and market data via the Financial Modeling Prep API.4MIT
- AlicenseCqualityBmaintenanceEnables AI assistants to access and analyze financial data including stock information, company fundamentals, and market insights through the Financial Modeling Prep API.100235 npm147TypeScriptApache 2.0
- AlicenseNot gradedqualityDmaintenanceProvides AI assistants access to comprehensive financial data including real-time stock quotes, company fundamentals, financial statements, market analysis, economic indicators, and 250+ financial tools across 24 categories from Financial Modeling Prep API.235 npmApache 2.0
- AlicenseAqualityBmaintenanceEnables AI agents to analyze stocks, screen markets, compare peers, read earnings calls, and track sector rotations using live financial data from Financial Modeling Prep.21PolyForm Noncommercial 1.0.0
- FlicenseAqualityFmaintenanceProvides financial data from Financial Modeling Prep for AI-assisted investment research, including company profiles, financial statements, and analyst ratings. It features high-level workflow tools for market analysis and atomic tools for deep dives into valuation and institutional ownership.21-
- AlicenseNot gradedqualityAmaintenanceProvides real-time stock market data for Claude Desktop and MCP-compatible clients, enabling natural language queries for quotes, historical prices, company profiles, financial statements, analyst ratings, comparisons, news, options, holdings, dividends, estimates, symbol search, and market status.163 npm21MIT
TDQS
Scored across 26 tools
Most tools have clearly distinct purposes, such as get_quote for real-time snapshots and get_historical_chart for time series. The main potential confusion is between get_key_metrics and get_financial_ratios, which both provide financial ratios but with different scopes; descriptions help clarify but some ambiguity remains.
All 26 tools follow a consistent get_<object> pattern in snake_case, with the verb 'get' always used. Technical indicators are uniformly named as get_technical_indicator_<type>, and all other tools follow the same predictable structure.
With 26 tools, the server exceeds the recommended 25-tool threshold for a coherent tool set. Although the broad financial domain justifies many endpoints, there is some redundancy (e.g., key_metrics vs. financial_ratios) and the sheer number may overwhelm agents.
The tool set provides comprehensive coverage of financial data: real-time quotes, fundamental statements, technical indicators, analyst estimates, insider trading, market statistics, and index constituents. Minor gaps exist, such as no dedicated dividend or split data, but core financial workflows are well-supported.