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AI · July 19, 2025

I built an AI agent that helps me invest

A while back, I built a simple app to track stocks. It pulled market data and generated daily reports based on my risk tolerance. Basically a personal investment assistant. It worked well enough that I kept going. Now, the same framework helps me with real estate: comparing neighborhoods, checking flood risk, weather patterns, school zones, old vs. new builds, etc. It’s a messy, multi-variable decision—which turns out to be a great use case for AI agents. Instead of ChatGPT or Grok 4, I use mcp-agent, which lets me build a persistent, multi-agent system that pulls live data, remembers my…

I built an AI agent that helps me invest launched on July 19, 2025 with 32 votes, #652 of 9,223 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.

Visit github.com ↗Alternativestop 7% of July 2025

In plain words

This is a multi-agent AI system designed to assist with investment decisions across stocks and real estate. It pulls live market data, property information, and environmental factors to generate personalized analysis based on the user's risk tolerance and preferences. The system uses an orchestrator to route tasks to specialized agents, an evaluator to refine results, and includes human review when needed. Built on mcp-agent, it maintains memory across sessions and improves recommendations over time. Intended for individual investors managing complex, multi-variable decisions.

written from the facts on this page · September 2026

From the sources

Build effective agents using Model Context Protocol and simple workflow patterns - mcp-agent/examples/usecases/mcp_realtor_agent at main · lastmile-ai/mcp-agent

This example demonstrates a universal research and analysis agent framework that can be adapted for any domain expertise. The system combines MCP server architecture with automatic elicitation for personalized data collection and analysis. Simply replace the agent instructions and API integrations to create specialized research workflows for finance, healthcare, legal, marketing, real estate, or any other field requiring data collection, quality verification, and report generation. Adaptable to any domain : Change the agent instructions, MCP server, and API integrations to create research agents for finance, healthcare, legal research, market analysis, academic research, or any other…from github.com

In the maker’s words, at launch

A while back, I built a simple app to track stocks. It pulled market data and generated daily reports based on my risk tolerance. Basically a personal investment assistant. It worked well enough that I kept going. Now, the same framework helps me with real estate: comparing neighborhoods, checking flood risk, weather…

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