What is MCP for financial data?
MCP (Model Context Protocol) is an open standard for connecting AI assistants to external tools and data. For finance, an MCP server lets an assistant pull real market context instead of guessing.
What MCP does
MCP defines how an AI client, such as a chat assistant or an agent, calls tools and reads resources from a server. The assistant gets structured, real data back, with the source attached.
Why it matters for markets
Language models are prone to inventing numbers. An MCP server backed by real market data means an assistant queries signals, news, and filings rather than hallucinating them, and a person can check the source trail afterward.
How QuantConomy uses MCP
QuantConomy runs an MCP server with read-only tools such as list_signals, search_entries, and sec_insider_trades, backed by the same API and key as direct access. Your agent and your code see the same data.
Questions
What is the difference between the API and MCP?
The REST API is for your own code. The MCP server wraps the same data as tools an AI assistant can call. Same signals, same key, same limits.
Is the MCP access read-only?
Yes. The early MCP tools read market context. Execution and write actions stay out of the public beta.
See it in the product
QuantConomy turns this into ranked, source-linked signals for your dashboard and your AI agents. Early access is opening in stages.
Last updated June 3, 2026