iusztinpaul Tech docs lookup
Use the context7 MCP server (when connected) to look up authoritative usage for any dependency or external service; fall back to web search otherwise.
Reference docs (llms.txt — fetch on demand). Each link below is an index of doc pages. Fetch the index first, then fetch only the specific page(s) you need. Do not pull whole llms-full.txt files into context unless a task truly requires the full reference, as it's large and consume tons of tokens.
- Gemini: https://ai.google.dev/gemini-api/docs/llms.txt — scoped API reference index also at https://ai.google.dev/api/llms.txt (no Python-only variant; append .md.txt to any docs page (e.g. …/docs/libraries.md.txt) for a scoped, plain-markdown version.)
- MongoDB: https://www.mongodb.com/llms.txt
- Voyage AI (embeddings): https://docs.voyageai.com/llms.txt — text embeddings docs · text API · multimodal docs · multimodal API
- Modal: https://modal.com/llms.txt — full reference at https://modal.com/llms-full.txt
- Opik: https://www.comet.com/docs/opik/llms.txt — also append /llms.txt to any section URL for a scoped index.
- Prefect: https://docs.prefect.io/llms.txt — full reference at https://docs.prefect.io/llms-full.txt
- FastMCP: https://gofastmcp.com/llms.txt — full reference at https://gofastmcp.com/llms-full.txt
- Bright Data: https://docs.brightdata.com/llms.txt — full reference at https://docs.brightdata.com/llms-full.txt