# com.esti-maite/construction-takeoff-estimating

> com.esti-maite/construction-takeoff-estimating — com-esti-maite-construction-takeoff-estimating. Use this tool when you need to automate construction takeoff and estimating processes, solving problems such as manual measurement errors and lengthy estimation times. It takes a drawing PDF as input and outputs a priced estimate, streamlining the construction planning process. Ideal for use in construction projects where accurate and efficient estimating is crucial.

Canonical page: https://skillsregistry.net/skills/com-esti-maite-construction-takeoff-estimating  
JSON: https://api.skillsregistry.net/v1/skills/com-esti-maite-construction-takeoff-estimating

## Description

Construction takeoff and estimating for AI agents. Measure a drawing PDF, export a priced estimate.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.esti-maite%2Fconstruction-takeoff-estimating)
- **Repository:** <https://github.com/nickpanagios/estimaite-mcp>

## Use it

MCP endpoint published by the skill: `https://mcp.esti-maite.com/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "com-esti-maite-construction-takeoff-estimating"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-esti-maite-construction-takeoff-estimating` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-esti-maite-construction-takeoff-estimating/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt