Use Cases

Developer documentation

Index framework docs (React, Django, Docker, etc.) so your AI coding assistant writes accurate, up-to-date code instead of guessing.

Example: Index https://docs.docker.com, then ask your AI in Cursor: "How do I create a multi-stage Docker build for a Node.js app?" — the agent calls search_docs, retrieves the relevant Docker documentation, and writes accurate code with proper Dockerfile syntax.

Internal knowledge bases

Index your company's internal docs, runbooks, or wiki. Let team members query the knowledge through their AI tools without leaving their IDE.

API reference lookup

Index API docs so AI agents can look up endpoints, parameters, and examples while writing integration code. Especially useful for complex APIs with many endpoints.

Customer support context

Index your product docs and FAQ. Give support agents an MCP server so their AI assistant can answer customer questions accurately, reducing response time and improving consistency.

Onboarding new engineers

Index your codebase docs and architecture guides. New engineers get accurate answers from day one through their IDE — no need to interrupt teammates.

Research & analysis

Index technical papers, specs, or standards. Query them semantically through AI to find relevant sections faster than manual searching.