# fd-mcp

> Use this tool when you need to quickly search for files or contents within a codebase, and require efficient navigation and execution of commands on matched files. It solves problems such as slow file searching, inadequate content matching, and cumbersome command execution, by leveraging fd and ripgrep. The tool takes search queries and directory paths as inputs and returns a list of matched files, allowing for seamless integration into AI-powered workflows.

Canonical page: https://skillsregistry.net/skills/thhart-fd-mcp  
JSON: https://api.skillsregistry.net/v1/skills/thhart-fd-mcp

## Description

Provides fast file search capabilities using fd (a modern find alternative), enabling AI assistants to efficiently navigate codebases, search file contents with ripgrep, and execute commands on matched files.

## Trust

- **Trust score (0–1):** 0.69
- **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:** [Glama](https://glama.ai/mcp/servers/hrpvd39oo7)
- **Repository:** <https://github.com/thhart/fd-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": "thhart-fd-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thhart-fd-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thhart-fd-mcp/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