Frequently Asked Questions about FindingAlpha AI MCP Server

Q: What is an MCP Server? A: MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). An MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools.

Q: What data does the FindingAlpha AI MCP Server provide? A: The server provides segmented revenue data and information on congressional trading activity. This includes trades made by members of Congress, which can offer insights into market trends and potential policy impacts.

Q: How do I install the FindingAlpha AI MCP Server? A: You can install the server using either Smithery or npm. With Smithery, use the command npx -y @smithery/cli install findingalpha-ai-mcp --client claude. With npm, use npm install findingalpha-ai-mcp.

Q: What are the API endpoints available on the server? A: The server provides the following API endpoints: segmented-revenue (for segmented revenue data), congress-trades-by-name (for trades by a congressman’s name), and congress-trades-by-ticker (for trades related to a specific stock ticker).

Q: Can I use this server with the UBOS platform? A: Yes, the FindingAlpha AI MCP Server seamlessly integrates with the UBOS platform, allowing you to incorporate its data into your AI agent workflows. UBOS is a full-stack AI agent development platform.

Q: What is UBOS? A: UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with your enterprise data, and build custom AI Agents with your LLM model and Multi-Agent Systems.

Q: How can I use the server to improve my investment research? A: You can use the segmented revenue data to identify companies with strong growth potential and diversified revenue streams. Analyze congressional trading activity to identify potential insider information and gain a deeper understanding of market sentiment.

Q: Is the FindingAlpha AI MCP Server open source? A: Yes, the server is released under the MIT License, allowing for free use, modification, and distribution.

Q: What kind of testing does the server undergo? A: The server undergoes rigorous testing, including both unit and integration tests, to ensure its reliability and accuracy.

Q: What prerequisites are required to use the server? A: You need Node.js 18 or higher and npm installed on your system.