# code-vector-sync

> Use this tool when you need to perform semantic code searches over a local codebase using natural language queries. It solves problems of efficient code discovery and navigation by enabling searches that go beyond traditional keyword-based methods. The tool takes in natural language queries as input and returns relevant code results, making it ideal for use cases where developers need to quickly find specific code snippets or functionality within a large codebase.

Canonical page: https://skillsregistry.net/skills/abernaughty-code-vector-sync  
JSON: https://api.skillsregistry.net/v1/skills/abernaughty-code-vector-sync

## Description

Enables semantic code search over a local codebase using Qdrant vector embeddings and OpenAI embeddings, allowing natural language queries from MCP-compatible clients like Claude Desktop.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ryoyauc8dk)
- **Repository:** <https://github.com/Abernaughty/code-vector-sync>

## 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": "abernaughty-code-vector-sync"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abernaughty-code-vector-sync` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abernaughty-code-vector-sync/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