# Embeddings Searcher

> Use this tool when you need to find relevant documentation in code repositories based on semantic meaning, rather than just keywords. It solves problems of inefficient information retrieval by providing intelligent document chunking and similarity-based search. The Embeddings Searcher takes in markdown documentation as input and outputs relevant search results based on AI-generated embeddings.

Canonical page: https://skillsregistry.net/skills/thypon-kb  
JSON: https://api.skillsregistry.net/v1/skills/thypon-kb

## Description

Enables semantic search through markdown documentation in code repositories using AI embeddings. Provides intelligent document chunking and similarity-based search to help users find relevant documentation based on meaning rather than just keywords.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vvrvajcz1x)
- **Repository:** <https://github.com/thypon/kb>

## 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": "thypon-kb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thypon-kb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thypon-kb/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