# CodeContext

> CodeContext — davidveksler-codecontext. Use this tool when you need to provide context to AI coding assistants like ChatGPT or Claude, as it turns a codebase into readable text. It solves the problem of limited code understanding by AI models, enabling them to provide more accurate and relevant suggestions. The CodeContext CLI tool and MCP server take in code from a git repository and output a text representation that can be fed into large language models.

Canonical page: https://skillsregistry.net/skills/davidveksler-codecontext  
JSON: https://api.skillsregistry.net/v1/skills/davidveksler-codecontext

## Description

CLI tool & MCP server that turns a codebase into text for an LLM to see its context — feed code to ChatGPT, Claude, or any AI coding assistant

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/DavidVeksler/CodeContext)

## 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": "davidveksler-codecontext"
    }
  }
}
```

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