# File Search Service

> Use this tool when you need to efficiently search for files containing specific queries within a directory and its subdirectories. It solves problems related to file discovery and organization by providing detailed information about matching files, including filename, path, size, and creation date. The service takes a query as input and returns a list of matching files, making it ideal for use cases where quick file location and retrieval are necessary.

Canonical page: https://skillsregistry.net/skills/rami-0-file-search  
JSON: https://api.skillsregistry.net/v1/skills/rami-0-file-search

## Description

This MCP server implementation provides a file search service using Python. It allows searching for files containing a specific query in the current directory and its subdirectories, returning detailed information about matching files including filename, path, size, and creation date. The implementation includes error handling, file access permissions checks, and result limiting to ensure efficient and robust searching capabilities.

## 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:** search
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rami-0-file-search)
- **Repository:** <https://github.com/rami-0/python_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": "rami-0-file-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rami-0-file-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rami-0-file-search/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