# thought-search

> thought-search — reppin123-thought-search. Use this tool when you need to efficiently search files on macOS by name or content, leveraging semantic and lexical search capabilities. It solves problems related to file discovery and information retrieval, providing agents with precise file paths and line numbers as output. Ideal for use cases where rapid file searching and content analysis are required, such as data mining, research, or automated workflows.

Canonical page: https://skillsregistry.net/skills/reppin123-thought-search  
JSON: https://api.skillsregistry.net/v1/skills/reppin123-thought-search

## Description

MCP server for searching files on macOS by name or content using semantic and lexical search, providing file paths and line numbers for agents to read from.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tiqin26n5j)
- **Repository:** <https://github.com/Reppin123/thought-search>

## 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": "reppin123-thought-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/reppin123-thought-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/reppin123-thought-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