# amdb

> amdb — betaer-08-amdb. Use this tool when you need to analyze and understand your codebase using AI-powered context, without relying on external services. It solves problems related to code comprehension, navigation, and optimization by providing local embeddings, call graphs, and AST parsing. The amdb tool takes in your codebase as input and outputs a searchable, AI-driven context, making it ideal for use cases where code insight and knowledge retrieval are crucial.

Canonical page: https://skillsregistry.net/skills/betaer-08-amdb  
JSON: https://api.skillsregistry.net/v1/skills/betaer-08-amdb

## Description

Turn your codebase into AI context — entirely on your machine. Single-binary MCP server with AST parsing, call graph, and local embeddings.

## Trust

- **Trust score (0–1):** 0.21
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xcyms9puyh)
- **Repository:** <https://github.com/BETAER-08/amdb>

## 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": "betaer-08-amdb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/betaer-08-amdb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/betaer-08-amdb/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