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grāmatr documentation

Real-time intelligent context engineering. Five stages, one Loop, every request.

Getting started

What grāmatr is, the five-stage Loop in 60 seconds, and how to apply for access.

MCP integration

Setup guides for Claude Code, Cursor, ChatGPT, Gemini, and any MCP-native tool.

API reference

Request shapes, response shapes, error codes, and stability guarantees for every endpoint.

Operations

Authentication, rate limits, and the governance scopes that gate cross-tier intelligence sharing.

Troubleshooting

Diagnostics for the common failure modes: token issues, CF Access, JWKS, intake errors.

Changelog

What shipped, what changed, and what behavior to expect across versions.


We’re filling these sections in over the coming days. If something you need isn’t here yet, the source is at github.com/gramatr/gramatr-docs — file an issue or jump into the gramatr platform support channel.

For the marketing site (what grāmatr is, why we built it, the proof): gramatr.com.