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.167 npm79MIT
- 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.22MIT

CoinLobster MCPofficial
AlicenseAqualityBmaintenanceProvides real-time crypto whale trade data and market analysis to AI agents, including unusual flow radar, liquidations, funding rates, and market snapshots across 15 exchanges and on-chain DEXs.178 npm14MIT- AlicenseNot gradedqualityDmaintenanceEnables querying of U.S. congressional stock trade data, including price history, recent trades, buy signals, stock activity, and politician activity, through natural language tools.1MIT

AxionQuant MCP Serverofficial
AlicenseCqualityBmaintenanceEnables AI agents and LLM apps to answer natural-language financial questions using live market data, including stocks, crypto, forex, futures, indices, ETFs, economic data, news, sentiment, SEC filings, earnings, financials, insider trading, ESG, credit ratings, and web traffic.13260 npmMIT- FlicenseNot gradedqualityNot gradedmaintenanceProvides comprehensive stock intelligence workflows by integrating data from multiple providers for market analysis, technical indicators, and fundamental data. It enables users to perform technical, fundamental, and risk analysis alongside options and news tracking through a unified tool registry.-
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.