llm-context.pyShare 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 outlinin

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Reviewed by Daniel Nikulshyn·Updated July 2026

Overview

llm-context.py is a tool for smart context management in LLM (Large Language Model) development workflows. It helps share relevant project files instantly through intelligent selection and rule-based filtering, addressing the problem of manually finding and copying relevant files, which wastes time and may hit token limits or miss important details. The tool provides focused, task-specific project context through composable rules, enabling easy switching between different tasks like code review and documentation. It supports sharing code with LLMs via the Model Context Protocol or clipboard and features smart code outlining.

Key features

Smart file selection
Rule-based context filtering
Clipboard sharing
Model Context Protocol (MCP) integration
Composable rules for task-specific context
Smart code outlining

Pricing

Model: Free
Category: MCP Servers
Rating: No reviews yet

Use cases

Code Review

Use llm-context.py to share relevant code files with LLMs for review, ensuring that the right context is provided without hitting token limits.

Documentation Generation

Leverage llm-context.py to provide focused context for LLMs to generate accurate documentation, switching easily between different parts of the project.

AI-Assisted Development

Integrate llm-context.py with AI agents to access additional files during development conversations, streamlining the development process.

Pros & Cons

Pros

Saves time by automating the process of finding and copying relevant files
Enables focused, task-specific context through composable rules
Supports easy switching between different tasks like code review and documentation
Allows AI agents to access additional files during conversations without manual copying

Cons

May require setup and configuration for specific use cases
Dependence on specific LLM models and environments (e.g., Claude Desktop)

Battle record

Across 1 battle in the Pantheon.

1st

2nd

3rd

Last battle

#4
MCP Servers Showdown — February 3, 2024
Feb 3, 2024 · #4 of 8

Reviews

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Q&A

Is setup required?

Yes, it may require setup and configuration for specific use cases, and depends on specific LLM models and environments.

Asked by Frank Müller · Dec 8, 2025

What tasks can it support?

It supports tasks like code review and documentation through composable rules, enabling easy switching between them.

Asked by Dovid Klein · Nov 2, 2025

What are the key features?

The key features include smart file selection, rule-based context filtering, clipboard sharing, Model Context Protocol integration, composable rules, and smart code outlining.

Asked by Uma Krishnan · Oct 27, 2025

How does llm-context.py share code?

llm-context.py shares code with LLMs via the Model Context Protocol or clipboard.

Asked by Winifred Adeyemi · Oct 19, 2025