Track what LLMs say before users choose your developer tool.
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Updated
Apr 23, 2026 - Python
Track what LLMs say before users choose your developer tool.
LLM readiness linter for websites. Audits robots.txt, llms.txt, Schema.org, and content density on a 0-100 scale. Includes MCP server. Published on PyPI: pip install context-cli.
Make your API agent-ready in minutes. One YAML declaration, every agent protocol.
Add a description, image, and links to the agent-readiness topic page so that developers can more easily learn about it.
To associate your repository with the agent-readiness topic, visit your repo's landing page and select "manage topics."