ShareSeer MCP Server

ShareSeer MCP Server Overview

ShareSeer’s Model Context Protocol (MCP) server unlocks the full breadth of U.S. SEC filings, insider transactions, and market‑wide financial data for AI assistants such as Claude. By exposing a clean, well‑documented API surface over MCP, the server allows developers to embed real‑time corporate disclosure and insider activity into conversational agents without handling authentication, rate limiting, or data parsing themselves. This dramatically reduces the friction of building compliance‑aware financial tools and enables rapid iteration on investment research workflows.

The server provides a suite of focused “tools” that map directly to common analyst tasks. With and , users can pull the latest 10‑K, 8‑K, or other SEC documents and insider trades for any ticker. Market‑wide endpoints such as and let assistants surface the newest filings or trades across all companies, supporting trend spotting and portfolio monitoring. For deeper insight into market movers, and expose the biggest buys and sells, giving traders a quick pulse on institutional sentiment. All tools return structured JSON that Claude can interpret and summarize, enabling natural‑language queries like “Show me the largest insider buying activity this week.”

ShareSeer’s subscription model tailors access to both casual researchers and professional traders. Free users receive a modest rate limit, six months of historical data, and limited insider results, while the premium tier lifts these constraints to 100 requests per hour, a decade of filings, unlimited insider data, and pagination support. This tiered approach lets developers scale their usage without over‑engineering the integration; they can start with the free tier to prototype and then upgrade as demand grows.

In practice, developers integrate ShareSeer MCP into AI‑driven dashboards, chatbots, or automated trading platforms. A trader might ask Claude to “Show me the recent 10‑K filings for Tesla” and receive a concise summary with key financial highlights. A compliance officer could request “Who made the largest insider purchases in the last week?” and instantly receive a list of executives, transaction sizes, and timestamps. Because the MCP server handles authentication, caching, and error handling, developers can focus on business logic rather than plumbing.

Unique advantages of ShareSeer’s MCP implementation include real‑time access to SEC data, a comprehensive insider transaction feed, and a clear separation of concerns between data retrieval and AI reasoning. The server’s remote deployment eliminates local maintenance, ensures the latest filings are always available, and provides a single integration point for any MCP‑compatible assistant. For developers building data‑rich financial applications, ShareSeer offers a reliable, scalable bridge between raw regulatory information and conversational AI insights.