# Engineering Drawing Estimator

> Engineering Drawing Estimator — anekhirun-ai-engineering-drawing-estimator. Use this tool when you need to automate the counting of electrical and communication symbols in engineering drawings, saving time and reducing errors in estimating quantities. It solves problems of manual counting and data extraction, supporting use cases such as construction planning and project bidding. The tool takes PDF drawings as input and outputs marked-up drawings and quantity reports, ideal for use in pre-construction and project estimation workflows.

Canonical page: https://skillsregistry.net/skills/anekhirun-ai-engineering-drawing-estimator  
JSON: https://api.skillsregistry.net/v1/skills/anekhirun-ai-engineering-drawing-estimator

## Description

An MCP server for counting electrical and communication symbols in engineering PDF drawings, supporting symbol detection, candidate review, and export of markup and quantities.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zt72nmemdf)
- **Repository:** <https://github.com/anekhirun/Takeoff-Lens-Plugin>

## Use it

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": "anekhirun-ai-engineering-drawing-estimator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anekhirun-ai-engineering-drawing-estimator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anekhirun-ai-engineering-drawing-estimator/pull`

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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