# Embgrep

> Use this tool when you need to quickly search for specific text patterns within local files using AI-powered embeddings, without relying on external services. Embgrep solves problems of efficient file searching, providing fast and accurate results for various use cases such as code review, research, and data analysis. It takes local files as input and outputs relevant search results, making it ideal for situations where data privacy and offline access are crucial.

Canonical page: https://skillsregistry.net/skills/io-github-arknill-embgrep  
JSON: https://api.skillsregistry.net/v1/skills/io-github-arknill-embgrep

## Description

Local semantic search — embedding-powered grep for files, zero external services.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.ArkNill%2Fembgrep)
- **Repository:** <https://github.com/QuartzUnit/embgrep>

## 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": "io-github-arknill-embgrep"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-arknill-embgrep` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-arknill-embgrep/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