# Context Coder MCP

> Use this tool when you need to accelerate AI-assisted code understanding and editing by loading your entire codebase into a large language model (LLM) context. It solves problems related to code navigation, comprehension, and modification, enabling efficient development and maintenance. The Context Coder MCP takes in a codebase as input and provides AI-driven code insights and editing suggestions as output.

Canonical page: https://skillsregistry.net/skills/khromov-context-coder  
JSON: https://api.skillsregistry.net/v1/skills/khromov-context-coder

## Description

Loads entire codebase into LLM context for AI-assisted code understanding and editing.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ato4ic2c0v)
- **Repository:** <https://github.com/khromov/context-coder>

## 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": "khromov-context-coder"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/khromov-context-coder` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/khromov-context-coder/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