# mcp-grep

> Use this tool when you need to search for patterns in text data using natural language prompts or common grep options. It solves problems such as finding specific strings, phrases, or keywords in large datasets, and supports use cases like recursive searching and context line retrieval. The mcp-grep tool takes in natural language prompts or grep commands as input and returns matching text lines as output.

Canonical page: https://skillsregistry.net/skills/fastmcp-me-mcp-grep-erniebrodeur  
JSON: https://api.skillsregistry.net/v1/skills/fastmcp-me-mcp-grep-erniebrodeur

## Description

A grep server implementation that exposes grep functionality through the Model Context Protocol (MCP), supporting natural language prompts and common grep options such as case-insensitive matching, context lines, and recursive searching.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t2rn89z2yj)
- **Repository:** <https://github.com/fastmcp-me/mcp-grep-erniebrodeur>

## 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": "fastmcp-me-mcp-grep-erniebrodeur"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fastmcp-me-mcp-grep-erniebrodeur` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fastmcp-me-mcp-grep-erniebrodeur/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
