Tools / Real Estate Data / Use Cases / Find Properties Matching Specific Criteria

Find Properties Matching Specific Criteria

Search current property listings using natural language criteria — location, price, size, features — and get a curated shortlist.

Tool
Real Estate Data icon
Real Estate Data

Property portals are designed for broad searches that return hundreds of results. If you have specific requirements — a minimum plot size, a quiet road, south-facing garden, no leasehold — filtering to a relevant shortlist manually takes hours and still misses properties that do not use the exact keywords in their listing description.

Real Estate Data lets you search listings using natural language criteria. Describe what you are looking for and get back a curated set of properties that match your actual requirements, not just the portal's basic filter categories.

Relocating buyers use this to shortlist properties in an unfamiliar area, time-poor buyers use it to pre-screen before instructing an agent, and investors use it to surface off-market indicators or underpriced stock that broad portal searches bury.

Agent Guides

Claude

  1. Connect ToolRouter to Claude: claude mcp add toolrouter -- npx -y toolrouter-mcp
  2. Describe your search criteria in plain language — location, budget, key features, and any deal-breakers.
  3. Ask Claude to run `search_listings` via the real-estate tool.
Read full guide →

ChatGPT

  1. Add ToolRouter to ChatGPT using the MCP JSON configuration: {"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}
  2. Describe your search criteria and your timeline.
  3. Run `search_listings` via real-estate to pull matching properties.
Read full guide →

Copilot

  1. Add ToolRouter to your Copilot MCP configuration: {"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}
  2. Provide the relocation criteria — location, budget, property type, key requirements.
  3. Run `search_listings` via real-estate to find matching properties.
Read full guide →

OpenClaw

  1. Connect ToolRouter to OpenClaw: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
  2. Build your input list — one search criteria set per row covering location, budget, and key features.
  3. Run `search_listings` via real-estate across all criteria sets in the batch.
Read full guide →

Related Use Cases

Open Research a Property Before Making an Offer

Research a Property Before Making an Offer

Search current listings and get an AI valuation for any address to understand whether the asking price is justified before you offer.

Real Estate Data icon
Real Estate Data
4 agent guides