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Share code with LLMs via MCP or clipboard with task-specific context rules.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "llm-context.py" yet — see the docs or source repo.
Use llm-context.py to collect the core files related to the payment module in this repository. Apply the 'code review' rule and produce LLM-ready context including key file summaries, major call chains, and risk areas to inspect.
An LLM-ready code review context package with file overviews, structural summaries, and review focus points.
Use llm-context.py with the 'documentation' rule to organize the API-related code in the current project. Produce context for an LLM to write developer docs, including interface definitions, parameter sources, and example file locations.
A documentation-focused LLM context package ready for generating API or developer documentation drafts.
Use llm-context.py to extract the minimal necessary code context for this bug-fix task and copy it to the clipboard. Prioritize error-related files, dependencies, and smart outlines while excluding irrelevant content.
A concise but complete issue-focused code context that can be pasted directly into an LLM for debugging.
Read, edit, and refactor code precisely with AST-based, token-efficient operations.
Gives AI assistants VSCode context and file operations for development workflows.
Let AI run Python, manage files and packages, and automate technical tasks.
Connect AI apps to a local Llama model for contextual retrieval.
Import private ChatGPT chats into MCP clients for reusable context retrieval.
Provides VS Code active editor context to MCP-compatible AI tools.