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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.
Turn any LLM into a codebase expert with search, mapping, and security insights.
Read, search, and update codebase documentation context through MCP.
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.