RemodelerIQ MCP Server

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`

Related MCP server: DIY Helper MCP Servers

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

This server cannot be installed

F

license - not found

-

quality - not tested

C

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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