ROIC.ai Financial Data MCP Server
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- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to access and analyze financial data such as stocks, ETFs, crypto, forex, commodities, company fundamentals, financial statements, and market insights through 250+ configurable tools.601 npmApache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights through 250+ tools covering stocks, ETFs, crypto, forex, commodities, and economics.601 npmApache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights through 250+ tools covering stocks, ETFs, crypto, forex, commodities, and economics.601 npmApache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights through 250+ tools covering stocks, ETFs, crypto, forex, commodities, and economics.601 npmApache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights through 250+ tools spanning stocks, ETFs, crypto, forex, commodities, economics, and more.601 npmApache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to access and analyze financial data, stock information, company fundamentals, market insights, and broader market datasets through a financial data API, with hundreds of tools across stocks, ETFs, crypto, forex, commodities, and economics.601 npmApache 2.0
TDQS
Scored across 25 tools
Most tools have clearly distinct purposes, such as listing exchanges versus searching tickers versus retrieving financial statements. Minor overlaps exist (e.g., get_enterprise_value and get_valuation_multiples both include EV metrics, and list_tickers/search_tickers/search_ticker_by_identifier are similar but with different lookup methods), but descriptions sufficiently clarify scope.
All tools follow a consistent verb_noun pattern using list_, search_, or get_ prefixes. Names are descriptive and predictable (e.g., list_industries, get_cash_flow, search_ticker_by_identifier). There are no mixed naming conventions or vague verbs.
With 25 tools, the set falls into the borderline-heavy range (16-25). Each tool has a specific financial metric or report, but some could be consolidated (e.g., grouping ratio families). The count is justifiable for a broad financial data API but feels slightly high.
The server covers a comprehensive range of financial data: company profiles, news, earnings calls, historical and latest prices, core statements, multiple ratio categories, and valuation metrics. There are no obvious gaps or dead ends for a read-only financial data server.