# turbovec-mcp

> Use this tool when you need to efficiently search and retrieve relevant code snippets based on their semantic meaning, leveraging compressed vectors from turbovec and OpenAI-compatible embeddings. It solves problems of manual code searching, enabling developers to quickly find and reuse existing code. The tool takes in code queries and returns relevant code results, ideal for use cases where rapid code discovery and reuse are crucial.

Canonical page: https://skillsregistry.net/skills/potatofacee-turbovec-mcp  
JSON: https://api.skillsregistry.net/v1/skills/potatofacee-turbovec-mcp

## Description

Enables local semantic code search using compressed vectors from turbovec and any OpenAI-compatible embeddings endpoint.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vyb01vya0k)
- **Repository:** <https://github.com/potatofacee/turbovec-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": "potatofacee-turbovec-mcp"
    }
  }
}
```

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