# CodeRAG

> Use this tool when you need to analyze and understand complex codebases, as it transforms code into knowledge graphs, enabling AI assistants to provide context-aware support by identifying code structure, relationships, and metrics. This tool solves problems related to code comprehension, navigation, and optimization, and accepts codebases as input, generating knowledge graphs as output. It is particularly useful in software development, maintenance, and debugging contexts.

Canonical page: https://skillsregistry.net/skills/jonnoc-coderag  
JSON: https://api.skillsregistry.net/v1/skills/jonnoc-coderag

## Description

An MCP server that transforms codebases into knowledge graphs using Neo4J, enabling AI assistants to understand code structure, relationships, and metrics for more context-aware assistance.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fhp4qkbid6)
- **Repository:** <https://github.com/JonnoC/CodeRAG>

## 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": "jonnoc-coderag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jonnoc-coderag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jonnoc-coderag/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