Massive.com MCP Server
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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.132106 npmMIT- AlicenseNot gradedqualityBmaintenanceEnables access to real-time and historical market data including stocks, ETFs, forex, and cryptocurrencies, with support for time series, quotes, dividends, splits, and earnings.13 npmMIT
- AlicenseAqualityCmaintenanceProvides AI agents with real-time financial market intelligence including stock quotes, crypto data, technical analysis, and portfolio insights. Enables natural language queries for current prices, technical indicators, asset comparisons, and portfolio analysis.179MIT
- 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
- 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, and economics. Supports dynamic, static, or full toolset loading over HTTP/SSE for Claude and other MCP clients.601 npmApache 2.0
- AlicenseBqualityBmaintenanceProvides real-time market data, technical analysis, screeners, and backtesting for stocks, crypto, forex, and futures across global exchanges, enabling AI assistants to fetch quotes, indicators, and strategy results via natural language.371MIT
TDQS
Scored across 53 tools
The tools cover distinct financial data domains (e.g., aggregates, quotes, news, futures), but there is significant overlap in functionality. For example, 'get_aggs' and 'list_aggs' both handle aggregate bars, and multiple 'get_snapshot_*' tools target similar snapshot data for different asset types, which could cause confusion in tool selection.
Most tools follow a consistent 'verb_noun' pattern (e.g., 'get_aggs', 'list_tickers'), with verbs like 'get' and 'list' used appropriately for retrieval. However, there are minor deviations, such as 'get_real_time_currency_conversion' using a longer name and some tools like 'list_benzinga_analyst_insights' having compound nouns, but overall the naming is predictable and readable.
With 53 tools, the count is excessive for a single server, indicating poor scoping. This many tools can overwhelm agents and lead to inefficiency, as many functions could be consolidated or better organized (e.g., grouping similar snapshot or Benzinga tools). A more focused set would improve usability.
The tool set provides comprehensive coverage for financial data retrieval, including aggregates, quotes, trades, news, futures, and market statuses. It supports CRUD-like operations for data access across multiple asset classes (stocks, crypto, forex, futures) and includes auxiliary data like holidays and inflation, leaving no obvious gaps for the domain.