# File Finder

> Use this tool when you need to efficiently locate files within a user's system, navigate file systems, or access specific documents without direct filesystem access. The File Finder tool indexes and returns detailed file information, including name, path, size, and creation date, making it ideal for document retrieval, code analysis, and content management workflows. It accepts configuration inputs through JSON files and outputs search results in a JSON format, such as search_results.json.

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

## Description

The MCP File Finder Server provides a powerful search capability for AI assistants to locate files within a user's system. Built with Python, it indexes and returns detailed file information including name, path, size, and creation date as demonstrated in the search_results.json output. The server can be configured through JSON files to specify execution parameters and permissions, making it adaptable to different environments. This implementation enables AI agents to efficiently navigate file systems, locate specific file types, and access relevant documents without requiring direct filesystem access, making it particularly valuable for document retrieval, code analysis, and content management workflows.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

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

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

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