# Code Embeddings

> Use this tool when you need to efficiently manage and query large code repositories, as it generates vector embeddings to facilitate knowledge retrieval and maintenance. It solves problems related to codebase navigation, information retrieval, and knowledge discovery, allowing for advanced querying and analysis. By taking in code repositories as input and outputting vector embeddings, Code Embeddings enables developers to better understand and work with their codebase in various contexts, such as development, debugging, and maintenance.

Canonical page: https://skillsregistry.net/skills/davidvc-code-knowledge-embeddings  
JSON: https://api.skillsregistry.net/v1/skills/davidvc-code-knowledge-embeddings

## Description

A knowledge management tool for code repositories using vector embeddings. This tool helps maintain and query knowledge about your codebase using advanced embedding techniques.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/davidvc-code-knowledge-embeddings)
- **Repository:** <https://github.com/davidvc/code-knowledge-mcptool>

## 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": "davidvc-code-knowledge-embeddings"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/davidvc-code-knowledge-embeddings` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/davidvc-code-knowledge-embeddings/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