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OctagonAI

Octagon 13F Holdings MCP

MCP Server

AI‑powered institutional holdings analysis for any MCP client

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Updated Sep 17, 2025

About

Provides comprehensive, real‑time Form 13F filings and institutional ownership data with historical analysis back to 2018, enabling fund performance and portfolio insights for MCP‑enabled applications.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Octagon 13F Holdings MCP

The Octagon 13F Holdings MCP server is a purpose‑built bridge that brings rich, AI‑enhanced institutional ownership data into any Model Context Protocol client. By leveraging Octagon’s advanced holdings analysis agents, the server exposes a comprehensive view of Form 13F filings, enabling developers to query real‑time and historical institutional investor activity without building custom parsers or data pipelines. This solves the long‑standing problem of accessing, normalizing, and interpreting SEC filings at scale—tasks that traditionally require specialized data vendors or significant engineering effort.

At its core, the server offers a suite of high‑value capabilities. It provides complete coverage of Form 13F filings, ensuring that every institutional investor’s holdings are represented. The data is historically rich, dating back to 2018, which allows for robust time‑series analysis and trend detection. Continuous daily updates guarantee that users always have the most current snapshot of market positions, making it ideal for real‑time portfolio monitoring. The server also supports multi‑domain analysis: from raw holdings to fund performance metrics, industry sector breakdowns, and portfolio allocation insights—all accessible through simple MCP calls. These features are packaged into a single, universally compatible MCP endpoint that can be added to any client such as Claude Desktop, Cursor, or other MCP‑enabled tools.

Developers benefit from the server’s universal integration. By simply adding a configuration entry, an AI assistant can invoke complex holdings queries and receive structured responses that are ready for downstream reasoning or visualization. This lowers the barrier to entry for building AI‑driven investment tools, research assistants, or compliance monitors. Use cases include generating portfolio summaries for clients, detecting sudden shifts in institutional positions, benchmarking fund performance against sector peers, or feeding a financial model with up‑to‑date ownership data. Because the server runs as an MCP endpoint, it can be chained with other tools—such as market data feeds or natural language summarization agents—to create sophisticated, end‑to‑end workflows.

What sets Octagon 13F Holdings MCP apart is its blend of depth and immediacy. The combination of historical depth, real‑time updates, and advanced metrics provides a one‑stop shop for institutional data analysis. Its design aligns perfectly with the MCP ecosystem, allowing AI assistants to treat holdings queries as first‑class resources without worrying about authentication, data cleaning, or API rate limits. For developers looking to embed institutional ownership insights into conversational AI or analytical dashboards, this server delivers a turnkey solution that scales from single‑user prototypes to enterprise deployments.