# CodeIntel

> Use this tool when you need to efficiently search and retrieve specific code snippets from large codebases using natural language queries. CodeIntel solves the problem of manual code searching by automatically indexing codebases with vector embeddings, allowing for fast and relevant code retrieval. It takes in codebases as input and outputs relevant code snippets, making it ideal for use cases where rapid code discovery is crucial, such as in software development and AI model training.

Canonical page: https://skillsregistry.net/skills/duonglabs-codeintel  
JSON: https://api.skillsregistry.net/v1/skills/duonglabs-codeintel

## Description

Automatically indexes codebases with vector embeddings, enabling natural language code search that loads only relevant code into AI context. Supports Docker and npm deployment with Qdrant vector database backend.

## 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:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/duonglabs-codeintel)
- **Repository:** <https://github.com/duonglabs/mcp-codeintel>

## 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": "duonglabs-codeintel"
    }
  }
}
```

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