# LLM Code Context

> Use this tool when you need to streamline code-related interactions with Large Language Models, such as code reviews, documentation generation, and codebase analysis. It takes in codebases and programming languages as input and outputs customized code context for AI systems to analyze and work with. Ideal for developers and teams requiring efficient interactions with LLMs across various project structures and programming languages.

Canonical page: https://skillsregistry.net/skills/restlessronin-llm-context  
JSON: https://api.skillsregistry.net/v1/skills/restlessronin-llm-context

## Description

This LLM Context MCP server, developed by restlessronin, streamlines the process of sharing code context with Large Language Models. Built with Python using the Model Context Protocol SDK, it offers features like profile-based customization, code outlining, and integration with both MCP and clipboard for easy switching between tasks such as code review and documentation. The server implements smart file selection using .gitignore patterns and supports multiple programming languages. By abstracting the complexities of context generation, it enables AI systems to easily analyze and work with codebases. This implementation is particularly valuable for developers and teams requiring efficient code-related interactions with LLMs, facilitating use cases such as code reviews, documentation generation, and codebase analysis across various programming languages and project structures.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/restlessronin-llm-context)
- **Repository:** <https://github.com/cyberchitta/llm-context.py>

## 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": "restlessronin-llm-context"
    }
  }
}
```

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