Build a personal investing and home-search research agent

A developer built a multi-agent system with mcp-agent that pulls market data and writes daily reports based on their risk tolerance, then reused it to compare neighborhoods for real estate.

Try it yourself

What you get

Daily research reports matched to your risk tolerance, plus help comparing neighborhoods (flood risk, schools, weather).

Tools

  • mcp-agent (open source)
  • GPT-4 or local models via Ollama

Steps

  1. Start from the open-source example in the mcp-agent repo.
  2. Set your preferences, such as risk tolerance and location needs.
  3. Let the orchestrator route tasks to agents and the evaluator refine results.

Copy-ready prompt

Compare these 3 neighborhoods for buying a home: [list]. For each, report flood risk, school zones, typical weather and the age of the housing stock, with sources. Then rank them for my priorities: [priorities].

Prompt written by AgentPlays from the source. Fill in the [brackets] and approve before anything is sent or bought.

Watch out: Research aid, not financial advice.

Proof / source

Open-source code Author's Show HN post and the public GitHub example.

Read the original source ↗ Discussion ↗

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