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finding-alpha

FindingAlpha AI MCP Server

MCP Server

AI‑powered stock analysis for public traded companies

Stale(50)
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Updated Jun 15, 2025

About

Provides Model Context Protocol endpoints that deliver segmented revenue data and congressional trade insights for listed stocks, enabling rapid financial analysis.

Capabilities

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

FindingAlpha AI MCP Server

The FindingAlpha AI MCP Server is a purpose‑built bridge that equips Claude and other Model Context Protocol clients with direct access to curated financial data. By exposing a set of lightweight, query‑based endpoints, the server allows developers to pull real‑time and historical information on public traded stocks without writing custom scrapers or handling API keys. This eliminates a common bottleneck in AI‑powered finance applications—getting clean, trustworthy data from disparate sources—and lets teams focus on building higher‑level insights.

At its core, the server offers three key tools. The segmented-revenue endpoint returns a company’s revenue broken down by business segment, enabling analysts to spot growth trends and evaluate the impact of new product lines. The congress-trades-by-name tool lets users retrieve all recorded trades made by a specific member of Congress, while the congress-trades-by-ticker endpoint provides all congressional transactions involving a particular stock. These data points are invaluable for compliance checks, ESG research, or sentiment analysis tied to political activity.

Developers can integrate these tools into AI workflows with minimal friction. A Claude assistant could, for example, ask a user “What are the latest revenue segments for Apple?” and the assistant would forward that query to the endpoint, receive structured JSON, and generate a concise summary. Similarly, a compliance bot could monitor congressional trading activity for a portfolio of holdings by polling the endpoint on a scheduled basis and flagging any unusual patterns.

What sets FindingAlpha apart is its focused scope and ready‑to‑use endpoints. Unlike generic data aggregators that expose dozens of unrelated metrics, this MCP server delivers exactly the financial signals most analysts care about. The result is faster prototyping, lower maintenance overhead, and a clearer audit trail—critical factors when building production‑grade AI services that must adhere to regulatory standards.

In summary, the FindingAlpha AI MCP Server solves a persistent pain point in finance‑AI integration by providing clean, domain‑specific data through an easy‑to‑consume protocol. Its segmented revenue and congressional trade tools empower developers to build analytical, compliance, and advisory applications that are both data‑rich and compliant with industry best practices.