# File Finder

> Use this tool when you need to quickly locate files on your system through natural language requests. It solves the problem of searching for files based on partial paths or names, returning metadata such as name, full path, size, and creation date. The tool accepts a query string and an optional base directory as input, making it ideal for users who want to simplify their file search process.

Canonical page: https://skillsregistry.net/skills/stepancooleague-file-finder  
JSON: https://api.skillsregistry.net/v1/skills/stepancooleague-file-finder

## Description

File-Finder-MCP is a server that enables AI assistants to search for files in a filesystem based on path fragments. It provides a single tool, 'search-files', which accepts a query string and an optional base directory parameter to locate matching files and return their metadata including name, full path, size, and creation date. This implementation is particularly useful for users who need to quickly locate files on their system through natural language requests without having to remember exact paths or use complex search commands.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/stepancooleague-file-finder)
- **Repository:** <https://github.com/stepancooleague/file-finder-mcp>

## 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": "stepancooleague-file-finder"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stepancooleague-file-finder` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stepancooleague-file-finder/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