# io.github.gustavoatar/remodeleriq

> Check if a contractor's remodeling bid is fair: analyze a quote, get cost + labor estimates.

- name: io.github.gustavoatar/remodeleriq
- version: 1.0.0
- connection class: R0 (autonomous)
- trust: 89/100
- quality: 91/100 (strong)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/io.github.gustavoatar%2Fremodeleriq
- tools: https://api.protogrid.dev/v1/servers/io.github.gustavoatar%2Fremodeleriq/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "remodeleriq": {
      "type": "http",
      "url": "https://remodeleriq.com/mcp"
    }
  }
}
```


## Trust

- hygiene: 100
- liveness: 97
- freshness: 65
- provenance: 90
- drivers: +repository +namespace-matches-repo +website +reachable +uptime-93% ~updated-120d-ago
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 91/100 (strong)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-06-18; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 100 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 10 of 10 tools declare readOnlyHint or destructiveHint
- pass `tools.directory_hints`: every tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
- pass `tools.token_cost`: about 2,618 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 100 (weight 15)

- pass `stability.changes`: no tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 10, about 2,618 tokens to load them all
- tool set hash: 67a7bfd1ef32d16daed87f70b666a192
- badge: [![protogrid quality](https://protogrid.dev/badge/io.github.gustavoatar/remodeleriq.svg)](https://protogrid.dev/servers/io.github.gustavoatar/remodeleriq)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Remotes

- https://remodeleriq.com/mcp (streamable-http, auth none, reachable true, uptime30d 0.9292035)

## Packages

_none_

## Tools (10)

- `analyze_bid`: Deprecated: prefer remodeleriq_analyze_bid. Analyze a home-remodeling contractor's bid/estimate for fairness and risk. Returns a 0-100 confidence score, red flags, a plain-English summary, and negotiation talk tracks. Note: analyses may contribute de-identified data to aggregate remodeling-risk research.
- `compare_bids`: Deprecated: prefer remodeleriq_compare_bids. Compare 2–5 contractor bids side-by-side with per-trade cost comparison, scope-gap matrix, and winner recommendation.
- `get_cost_estimate`: Deprecated: prefer remodeleriq_get_cost_estimate. Get a 2026 market cost range for a home-remodeling project in a US state/city, backed by Zonda Cost vs. Value benchmarks with regional adjustment.
- `get_labor_rates`: Deprecated: prefer remodeleriq_get_labor_rates. Get 2026 burdened construction trade labor rates ($/hour) for a US state, derived from BLS wage data.
- `get_risk_stats`: Deprecated: prefer remodeleriq_get_risk_stats. Get aggregate red-flag statistics from the RemodelerIQ bid corpus.
- `remodeleriq_analyze_bid`: Analyze a home-remodeling contractor's bid/estimate for fairness and risk. Returns a 0-100 confidence score, score_breakdown by dimension, red flags with stable flag IDs (deposit traps, vague scope, missing items, payment terms), a plain-English summary, and negotiation talk tracks. Score rubric: contract clarity 40%, scope completeness 30%, price realism 30%. Use when a homeowner asks 'is this contractor quote fair?' or shares a remodeling estimate. Note: analyses may contribute de-identified data to aggregate remodeling-risk research.
- `remodeleriq_compare_bids`: Compare 2–5 contractor bids for the same project side-by-side. Returns: per-bid confidence scores; a per-trade cost comparison table sorted by price variance; a scope-gap matrix (what Bid A includes that Bid B omits); apples-to-apples adjusted totals (normalizing for scope gaps); outlier detection (trades priced ≥2× or ≤0.5× the median); consolidated red flags across all bids; and a winner recommendation. Use when a homeowner has multiple quotes and wants to know which is best and why.
- `remodeleriq_get_cost_estimate`: Get a 2026 market cost range for a home-remodeling project in a US state/city, backed by Zonda Cost vs. Value benchmarks with regional adjustment. Use when a homeowner asks 'how much does a [kitchen/bathroom/roof/etc.] remodel cost in [place]?'
- `remodeleriq_get_labor_rates`: Get 2026 burdened construction trade labor rates ($/hour) for a US state, derived from BLS wage data. Returns rates by trade (carpenter, plumber, electrician, painter, etc.). Use when a homeowner asks what trade labor should cost or whether a bid's labor line is fair.
- `remodeleriq_get_risk_stats`: Get aggregate red-flag statistics from the RemodelerIQ bid corpus — real anonymized data from bids analyzed by the platform. Returns the most common risk flags and their fire rates, average confidence scores, and bid-total distributions, filtered optionally by US state, project type, or bid size. Requires corpus ≥ 500 submissions; cells below 30 submissions are suppressed. Use when a homeowner asks 'how common is a 40% deposit demand?' or 'what do most kitchen-remodel bids get flagged for?'. This is proprietary empirical data available nowhere else.