What Stockfacts MCP server does
Stockfacts MCP server is described as a source of US stock market data for AI agents. Its coverage includes company filings submitted to the Securities and Exchange Commission, financial data, insider transactions, institutional holdings reported through Form 13F, options information, and macroeconomic data.
This range can support research that combines company-level and market-level information. For example, an agent may need to examine a filing alongside financial data, review insider activity, inspect institutional positions, or include options and macroeconomic context in an analysis. The supplied description does not specify the symbols, exchanges, date ranges, filing types, or fields available for each category.
The listing does not provide a detailed API reference. Tool names, input parameters, output formats, pagination behavior, update schedules, and error responses are therefore not documented here.
Limitations and notes
The available material is limited to a short description and the project URL. It confirms the intended subject matter—US stock market data for AI agents—but does not explain how an agent connects to the service. No installation command, package name, configuration file, authentication method, endpoint, or environment variable is provided.
The Stockfacts MCP server may be relevant for financial research workflows, but its fit cannot be evaluated for a specific MCP client from the available information. Client compatibility, transport support, and deployment requirements are not stated. Developers should verify those details in the project documentation before adopting it.
The description also does not establish whether the data is real time, delayed, historical, or periodically updated. It does not state whether access is free, requires an account, imposes usage limits, or includes commercial-use restrictions. Coverage and licensing for SEC, market, options, insider, 13F, and macroeconomic data are likewise unspecified.
Use the Stockfacts MCP server listing as a high-level indication of available data domains rather than as a complete integration guide. Before building against it, confirm the exposed tools, supported queries, response schemas, source coverage, freshness, and operational requirements.