llm context.py
pipStandardShare code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between different tasks (like code review and documentation). Includes smart code outlining.
292260Updated 3 weeks ago
Overview
Share code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between different tasks (like code review and documentation). Includes smart code outlining.
Installation
1Install the package
pip
pip install llm-context.py2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"cyberchitta-llm-contextpy-github": {
"command": "uvx",
"args": [
"pip install llm-context.py"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from llm context.py?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in llm context.py?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in llm context.py"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in llm context.py with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with llm context.py
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