AI agents
Retrieve only the Intelligence needed for the current step instead of rebuilding the whole picture.
An agent connected over MCP asks one question per step instead of reading the repository to work the answer out. The main tool takes the task in the user's own words and returns the smallest slice of the model that answers it, already written as text the agent can use. A rough token ceiling can be set on each call; the default is 8,000.
Copy your MCP key from the Access page in the workspace.
Add the GitMir server to Claude Code, Codex, Cursor, VS Code or your own runtime.
Have the agent call the context tool with the step it is about to do.
Follow up with the tools that answer what a thing is, what it reaches, or what the product calls it.
GitMir answers questions. It does not run the agent, hold its workflow state, or perform any action in your systems. Answers describe the product as of its last build; if the model is stale the answer says so, and it is up to the agent to repeat that. The ceiling is a request, not a promise: it is clamped to what your plan allows, so a bigger number does not buy a bigger answer. There is no tool that returns the model in bulk, so an agent cannot cache it and stop asking.
See it on a real product.
Three models are published in full and open without an account. Ask one of them the question this page is about.