# sangsik-gdscript-graph

> sangsik-gdscript-graph — eomsangsik-sangsik-gdscript-graph. Use this tool when you need to analyze and understand the function-level call graph of GDScript/Godot projects, solving problems like identifying function callers or predicting code changes' impact. It takes GDScript code as input and provides call graph data as output, enabling AI coding assistants to answer complex codebase questions. Ideal for use in large-scale Godot project development and maintenance, streamlining code navigation and refactoring.

Canonical page: https://skillsregistry.net/skills/eomsangsik-sangsik-gdscript-graph  
JSON: https://api.skillsregistry.net/v1/skills/eomsangsik-sangsik-gdscript-graph

## Description

A function-level call-graph indexer for GDScript/Godot projects, exposed as an MCP server so AI coding assistants can answer questions like 'what calls this function?' or 'what would break if I change this signal?' without re-reading the whole codebase.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lys2az68zz)
- **Repository:** <https://github.com/Eomsangsik/sangsik-gdscript-graph>

## 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": "eomsangsik-sangsik-gdscript-graph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eomsangsik-sangsik-gdscript-graph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eomsangsik-sangsik-gdscript-graph/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