FinzData MCP server
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- AlicenseNot gradedqualityBmaintenanceEnables AI agents to pull end-of-day and historical stock prices, ticker metadata with available date ranges, crypto pair prices at a chosen resample frequency, and recent financial news filtered by ticker or tag. Runs either against a hosted gateway endpoint or locally over stdio, with API-key handling for the account tiers each data source requires.10 npmMIT
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and backends to query multi-market financial data — A-share, US equity, ETF, index, and crypto quotes, K-lines, technical indicators, fundamentals, money flow, news, and SEC/A-share filings — through MCP tools and a matching HTTP API. Includes agent-friendly artifact offloading and CSV/JSON code-export endpoints, with configurable none/token/JWT authentication and multi-provider failover.-
- AlicenseNot gradedqualityBmaintenanceEnables authenticated users to manage paper-trading accounts, place and cancel orders with simulated fills, view positions and P&L, search instruments, fetch bars, and run quant-strategy lifecycles over stdio or streamable HTTP.MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to query and analyze financial data through 250+ tools spanning stocks, ETFs, crypto, forex, commodities, economics, company fundamentals, SEC filings, and market news. It supports dynamic, static, or full toolset loading with hosted or self-hosted HTTP/SSE deployment.436 npmApache 2.0

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.13234 npmMIT- AlicenseNot gradedqualityDmaintenanceEnables AI agents to access real-time financial data including crypto, equities, on-chain, prediction markets, and macro via a single API key.MIT
TDQS
Scored across 11 tools
Most tools have clearly distinct purposes (e.g., prices_daily vs earnings_dates vs insiders). However, fundamentals and financial_statements both cover financial statement data and could be confused; cot/cot_markets and macro/macro_search are differentiated as lookup vs fetch, but the pairing might still cause slight hesitation.
All tool names use consistent snake_case, mostly noun or noun_phrase patterns (company_profile, earnings_dates, prices_daily, cot_markets, macro_search, etc.). No mixing of conventions or verb styles.
11 tools is well within the ideal 3-15 range. Each tool serves a distinct data retrieval need across equities, futures, macro, and SEC filings, with no redundant or filler tools.
The surface covers core financial data domains: company profiles, prices, earnings, short interest, insiders, fundamentals, financial statements, COT, and macro. A notable gap is the absence of a ticker/symbol search or list tool to discover valid symbols, which could hinder agents when using ticker-based tools.