# fastfind

> fastfind — adisingh396-fastfind. Use this tool when you need to quickly locate specific files within a large repository, as fastfind provides instant file discovery through a single search call, returning exact paths from an NTFS $MFT index. It solves the problem of token waste from repeated ls, grep, and find commands, making it ideal for AI coding agents working with large codebases. By integrating with git, fastfind streamlines file searching, reducing the time and resources spent on file probing.

Canonical page: https://skillsregistry.net/skills/adisingh396-fastfind  
JSON: https://api.skillsregistry.net/v1/skills/adisingh396-fastfind

## Description

MCP server that gives AI coding agents instant, grounded file discovery: one search call returns exact paths from an NTFS $MFT index, instead of burning tokens on ls/grep/find probing.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/adisingh396/fastfind)

## 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": "adisingh396-fastfind"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adisingh396-fastfind` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adisingh396-fastfind/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