FinData MCP
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- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights through a standardized MCP interface. It provides 250+ tools across categories such as financial statements, quotes, technical indicators, ETFs, crypto, forex, commodities, economics, and SEC filings.332 npmApache 2.0
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and backends to access standardized financial market data and analysis tools across A-shares, US equities, ETFs, indices, and crypto, including technical indicators, fundamentals, news, filings, and money flow. It exposes these capabilities through MCP tools and HTTP endpoints, with agent-friendly artifacts and CSV/JSON exports.-
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and backend workflows to access standardized multi-market financial data, technical indicators, fundamentals, news, filings, money flow, and CSV/JSON exports through MCP tools and HTTP endpoints.-
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and backends to retrieve and analyze financial market data — A-shares, US equities, ETFs, indices, and crypto — through MCP tools or an HTTP API. It provides quotes and K-lines, technical indicators, fundamentals, money flow, filings, and news search, with CSV/JSON export for code-execution workflows.-
- AlicenseAqualityCmaintenanceProvides live financial data for any LLM agent, including stock quotes, crypto prices, SEC filings, XBRL financials, FX rates, and macro indicators, through ten MCP tools.11109 npm1MIT
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and applications to access and analyze A-share, US equity, ETF, index, and crypto market data, including technical indicators, fundamentals, news, filings, money flow, and exportable CSV/JSON datasets through MCP tools and HTTP APIs.-
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose targeting different financial data domains: company fundamentals, cryptocurrency prices, economic indicators, SEC filings, and stock quotes. There is no overlap in functionality, making tool selection straightforward for an agent.
The naming follows a consistent snake_case pattern with descriptive noun-based names (e.g., company_fundamentals, crypto_price). However, there is a minor inconsistency with 'sec_filing' using an acronym while others use full words, slightly deviating from perfect uniformity.
With 5 tools, the server is well-scoped for financial data retrieval, covering key areas like stocks, crypto, economics, and regulatory filings. Each tool serves a specific and necessary function without redundancy, making the count appropriate for the domain.
The toolset provides comprehensive coverage for retrieving financial data across multiple domains, with no obvious gaps for core operations. A minor gap might be the lack of tools for historical data analysis or portfolio management, but the surface is complete for basic data access needs.