An MCP server is a program that exposes tools, resources, and prompts over the Model Context Protocol, so that an AI client like Claude can discover and call them — for example, to fetch live market or filing data.
An MCP server is the supply side of MCP. It advertises a set of tools (callable functions with typed inputs), resources (readable data), and prompts, and handles the calls an LLM client makes. The model decides when to call; the server does the work and returns structured results.
For a data company, the MCP server is the product surface: a hedge-fund-holdings tool, an insider-transactions tool, a search tool — each a metered call the customer's agent makes.
Arkolith's MCP server exposes tools like `funds`, `insider.company`, and `search` — an agent asks "who bought NVDA last quarter" and the model calls the right tool.
This is how Arkolith is consumed: connect our MCP server to your agent and it gets one key to SEC, insider, and market data — billed per call, no inference on our side.
Arkolith turns this into live, sourced data your agent can query — SEC filings, insider activity, and market data behind one key, every datapoint traceable to its origin.