# tree-sitter-analyzer

> tree-sitter-analyzer — aimasteracc-tree-sitter-analyzer. Use this tool when you need to analyze code across multiple programming languages, as it provides a scalable framework for parsing and understanding code structure. The tree-sitter-analyzer solves problems related to code comprehension, navigation, and querying, accepting code files as input and producing detailed analysis outputs. It is particularly useful in contexts where multi-language support and git integration are required.

Canonical page: https://skillsregistry.net/skills/aimasteracc-tree-sitter-analyzer  
JSON: https://api.skillsregistry.net/v1/skills/aimasteracc-tree-sitter-analyzer

## Description

Cross-language-safe code-intelligence MCP for AI agents: 13 languages, family-gated call graph, blast radius, health grading, 8 facade tools, JSON envelopes, 100% local. Run miswire-audit on your repo.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/aimasteracc/tree-sitter-analyzer)

## 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": "aimasteracc-tree-sitter-analyzer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aimasteracc-tree-sitter-analyzer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aimasteracc-tree-sitter-analyzer/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