axionquant/mcp-server
by Various
MCP server for AxionQuant. Give AI agents and LLM apps natural-language access to real-time and historical stock prices, fundamentals, SEC filings, earnings, news, sentiment, and a
MCP
axionquant/mcp-server
Added 16 Sept 2026
Overview
An MCP server that gives AI agents and LLM applications natural language access to AxionQuant financial data. It provides real-time and historical stock prices, fundamentals, SEC filings, earnings, news, sentiment, and alternative data. Installable via npm as @axionquant/mcp.
Best for
Best for
Developers building financial AI assistants or LLM apps that need market data.
Use cases
- Query real-time and historical stock prices in natural language
- Retrieve company fundamentals and SEC filings
- Pull earnings, news, and sentiment data for analysis
How to use
Install
npm i @axionquant/mcp Tools exposed
stocks_tickersstocks_quotestocks_pricescrypto_tickerscrypto_quotecrypto_pricesforex_tickersforex_quoteforex_pricesfutures_tickersfutures_quotefutures_pricesindices_tickersindices_quoteindices_pricesetf_fundetf_holdingsetf_holdings_alletf_exposureecon_search
Tested with
Claude Desktop, ChatGPT
Notes
An MCP server that gives AI agents and LLM applications natural language access to AxionQuant financial data. It provides real-time and historical stock prices, fundamentals, SEC filings, earnings, news, sentiment, and alternative data. Installable via npm as @axionquant/mcp.
0 stars on GitHub. Last updated 2026-08-26.
Use cases
- Query real-time and historical stock prices in natural language
- Retrieve company fundamentals and SEC filings
- Pull earnings, news, and sentiment data for analysis
Pros
- Covers a wide range of financial data types in one server
- Natural language interface works with MCP-compatible clients
- Simple npm installation
Cons
- No community adoption yet (zero GitHub stars)
- Requires an MCP-compatible client to use
- Data reliability and accuracy not yet independently verified
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Covers a wide range of financial data types in one server
- Natural language interface works with MCP-compatible clients
- Simple npm installation
Cons
- No community adoption yet (zero GitHub stars)
- Requires an MCP-compatible client to use
- Data reliability and accuracy not yet independently verified
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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