# code-graph-context

> code-graph-context — andrew-hernandez-paragon-code-graph-context. Use this tool when you need to analyze and understand complex TypeScript codebases, as it builds rich code graphs to provide deep contextual understanding for Large Language Models, solving problems like code comprehension and navigation. It takes in git-based code repositories as input and outputs detailed code graphs, enabling more accurate and informed model outputs. Use it to enhance model performance and code analysis capabilities in software development contexts.

Canonical page: https://skillsregistry.net/skills/andrew-hernandez-paragon-code-graph-context  
JSON: https://api.skillsregistry.net/v1/skills/andrew-hernandez-paragon-code-graph-context

## Description

A Model Context Protocol (MCP) server that builds rich code graphs to provide deep contextual understanding of TypeScript codebases to Large Language Models.

## Trust

- **Trust score (0–1):** 0.49
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/andrew-hernandez-paragon/code-graph-context)

## 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": "andrew-hernandez-paragon-code-graph-context"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andrew-hernandez-paragon-code-graph-context` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andrew-hernandez-paragon-code-graph-context/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
