docs-seeker

Automate retrieving library documentation by running script-driven lookups against context7.com to fetch llms.txt files for API references and developer guides. The scripts handle topic detection and URL construction automatically to return structured outputs suitable for agent workflows.

When llms.txt is unavailable, the documentation retrieval process applies automatic fallbacks to fetch general documentation or generate repository analysis reports instead. This ensures you still receive structured context for your target framework even without direct llms.txt support.

Yes, you can use these scripts for repository analysis on various frameworks. The tool applies topic-specific and general workflows with environment-based configuration, guaranteeing deterministic execution and structured analysis outputs for your chosen library.

The best way to integrate API docs into agent-driven workflows is to use scripted lookups that collect llms.txt data and output structured analysis reports. This end-to-end workflow ensures deterministic, environment-based configuration for reliable agent consumption.

No external dependencies are required to run the documentation discovery scripts. The tool operates independently using its internal scripts and references to perform deterministic lookups against context7.com and related sources for your queries.