# File Search Server

> Use this tool when you need to quickly locate specific files within large local directories using intuitive natural language queries. It solves problems of file discovery and retrieval by searching across multiple file formats, including PDF, Word, Excel, and text files, and returns relevant results with AI-powered scoring. Ideal for use cases where manual file searching is inefficient or impractical, such as in data-intensive research or document management tasks.

Canonical page: https://skillsregistry.net/skills/liu10250510-mcp-file-search-server  
JSON: https://api.skillsregistry.net/v1/skills/liu10250510-mcp-file-search-server

## Description

Enables intelligent file searching in local directories using natural language queries. Supports searching by file type, filename patterns, and content across multiple formats including PDF, Word, Excel, and text files with AI-powered relevance scoring.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lxc3aqi1lq)
- **Repository:** <https://github.com/liu10250510/mcp-file-search-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": "liu10250510-mcp-file-search-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/liu10250510-mcp-file-search-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/liu10250510-mcp-file-search-server/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