# mcp-code-context

> Use this tool when you need to optimize code processing tasks, such as reading, writing, or refactoring code, to reduce token usage and context window waste. It enables efficient AST-based operations, making it ideal for use cases like code generation, code completion, and code analysis. By leveraging this tool, LLMs can improve their code-related capabilities with precise and resource-efficient operations.

Canonical page: https://skillsregistry.net/skills/achatainga-mcp-code-context  
JSON: https://api.skillsregistry.net/v1/skills/achatainga-mcp-code-context

## Description

Enables LLMs to efficiently read, write, and refactor code using precise AST-based operations, reducing token usage and context window waste.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c8a5rc51c3)
- **Repository:** <https://github.com/achatainga/mcp-code-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": "achatainga-mcp-code-context"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/achatainga-mcp-code-context` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/achatainga-mcp-code-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