# File Finder

> Use this tool when you need to efficiently search and retrieve files within a networked environment. The File Finder provides HTTP server support and utilizes TypeScript and Node.js to offer flexible execution modes. It is ideal for use cases requiring rapid file location and access, accepting file queries as input and returning relevant file locations as output.

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

## Description

This MCP server implementation provides file finding functionality with HTTP server support. It utilizes TypeScript and Node.js, offering both standard and HTTP-based execution modes. The server integrates with the Model Context Protocol SDK and includes features for building, starting, and developing the application. It's designed for use cases requiring efficient file search and retrieval capabilities within a networked environment.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sergey-fintech-file-finder)
- **Repository:** <https://github.com/sergey-fintech/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": "sergey-fintech-file-finder"
    }
  }
}
```

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