# code-graph

> code-graph — brandyn-s-code-graph. Use this tool when you need to analyze and understand the relationships between code components, such as callers and callees, to identify potential change impacts and verify implementations with source-backed evidence. It solves problems related to code maintenance, debugging, and optimization by providing a persistent knowledge graph of code dependencies. The code-graph tool takes in git repository data as input and outputs a graph of code relationships, making it ideal for use cases involving complex codebases and frequent changes.

Canonical page: https://skillsregistry.net/skills/brandyn-s-code-graph  
JSON: https://api.skillsregistry.net/v1/skills/brandyn-s-code-graph

## Description

Persistent code knowledge graph MCP server: callers, callees, implementations, change impact, with source-backed evidence

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/brandyn-s/code-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": "brandyn-s-code-graph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brandyn-s-code-graph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brandyn-s-code-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