# AST MCP Server

> Use this tool when you need to analyze and understand complex codebases across multiple programming languages, and solve problems like incremental parsing, complexity analysis, and code comparison. It provides advanced code structure and semantic analysis through Abstract Syntax Trees (AST) and Abstract Semantic Graphs (ASG) as output, taking in code snippets as input. This enables AI models to better navigate and comprehend code, making it ideal for use cases like code review, optimization, and automation.

Canonical page: https://skillsregistry.net/skills/angrysky56-ast-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/angrysky56-ast-mcp-server

## Description

Provides advanced code structure and semantic analysis through Abstract Syntax Trees (AST) and Abstract Semantic Graphs (ASG) across multiple programming languages. It enables tasks like incremental parsing, complexity analysis, and AST diffing to help models understand and navigate codebases.

## Trust

- **Trust score (0–1):** 0.49
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gr4wu0ws0u)
- **Repository:** <https://github.com/angrysky56/ast-mcp-server>

## 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": "angrysky56-ast-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/angrysky56-ast-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/angrysky56-ast-mcp-server/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