RemodelerIQ

Let AI agents check whether a home-remodeling contractor's bid is fair — and answer "how much should this cost?" — using RemodelerIQ's live data (BLS labor wages, Zonda Cost vs. Value benchmarks, contract-risk analysis).

Hosted, no install. Streamable-HTTP endpoint:

https://remodeleriq.com/mcp

Tools

Tool	What it does	Inputs
analyze_bid	Scores a contractor's remodeling bid for fairness; returns a 0–100 confidence score, red flags (deposit traps, vague scope, missing items), and negotiation talk-tracks.	bid_text (required), bid_total, state_code
get_cost_estimate	2026 market cost range for a project in a US state/city, backed by Zonda Cost vs. Value benchmarks.	project_type, state_code (required), city_key
get_labor_rates	2026 burdened construction trade labor rates ($/hr) by US state, derived from BLS wage data.	state_code (required), trade

Connect

Claude Desktop / Claude.ai → Settings → Connectors → Add custom connector → URL: https://remodeleriq.com/mcp

Cursor / other MCP clients — add a remote (streamable-http) server pointing at the URL above.

Test with curl:

curl -s -X POST https://remodeleriq.com/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Example

"Is a $48,000 kitchen remodel with a 50% upfront deposit and a 'cabinets allowance TBD' line fair in Texas?"

The agent calls analyze_bid → gets a low confidence score and flags: high deposit, undefined cost exposure (open allowance), missing license/permit references — plus talk-tracks to push back.

About

Built by RemodelerIQ — a free AI bid analyzer for homeowners. https://remodeleriq.com

• Discovery: /.well-known/mcp/server-card.json
• Methodology: https://remodeleriq.com/how-we-score
• LLM context: https://remodeleriq.com/llms.txt

License

MIT