# codesteer-atlas

> Use this tool when you need to perform offline semantic code searches across large codebases, leveraging Tree-sitter AST parsing and local embeddings to efficiently index and query code. It solves problems related to code discovery, reuse, and maintenance by enabling hybrid search capabilities without relying on internet connectivity. Ideal for use cases where offline access to code knowledge is crucial, such as in secure or disconnected development environments.

Canonical page: https://skillsregistry.net/skills/luiscarloslopes-codesteer-atlas  
JSON: https://api.skillsregistry.net/v1/skills/luiscarloslopes-codesteer-atlas

## Description

Local MCP server for semantic code search using Tree-sitter AST parsing, local embeddings, and hybrid search; enables indexing and querying codebases entirely offline.

## Trust

- **Trust score (0–1):** 0.42
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/egg15s3rpi)
- **Repository:** <https://github.com/LuisCarlosLopes/codesteer-atlas>

## 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": "luiscarloslopes-codesteer-atlas"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/luiscarloslopes-codesteer-atlas` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/luiscarloslopes-codesteer-atlas/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