Unusual Whales MCP Server
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- AlicenseBqualityAmaintenanceProvides access to Unusual Whales market data including options flow, dark pool activity, congressional trades, and more via natural language queries.1619 npm77MIT
- AlicenseBqualityBmaintenanceEnables AI assistants to query fused 0-100 conviction scores, ranked watchlists, market briefings, and raw market signals from the Unusual Whales API, including a keyless demo mode.71MIT
- 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.333 npmApache 2.0
- AlicenseAqualityCmaintenanceEnables AI agents to query free public market data through 21 tools spanning 29 datasets sourced from SEC EDGAR/XBRL, FINRA, CFTC, the Federal Reserve, USAspending and exchange APIs. Covers short interest, insider and fund holdings, company financials, macro and policy rates, funding rates, crypto market metrics, IPOs and federal contracts, with no API key required to start.22104 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.333 npmApache 2.0

XOOMAR MCPofficial
AlicenseAqualityCmaintenanceProvides AI agents with access to a wide range of market data, including short interest, insider trades, financials, and macro indicators, through 26 tools across 31 datasets.26104 npm1Apache 2.0
TDQS
Scored across 33 tools
Most tools have distinct purposes targeting specific financial data categories (congress trades, dark pools, earnings, ETFs, market indicators, news, screeners, stock/option analytics). Some potential overlap exists between flow-related tools (e.g., get_stock_flow_alerts vs get_stock_flow_recent) and ETF tools, but descriptions generally clarify the differences.
All tools follow a consistent 'get_[category]_[specific]' snake_case pattern, with clear and predictable naming. The structure is uniform across all 33 tools, making it easy to understand the domain and action at a glance.
33 tools is excessive for a single server, likely overwhelming for agents and suggesting poor scoping. While the domain (financial data) is broad, this many tools indicates fragmentation rather than a cohesive set, making it difficult to navigate and use effectively.
The tool set comprehensively covers the financial data domain implied by the server name and tool descriptions. It includes data on alerts, congress trades, dark pools, earnings, ETFs, market indicators, news, screeners, and detailed stock/option analytics, with no obvious gaps for the intended purpose.