An MCP server that gives AI agents your organisation's context — vision, products, teams, working methods — straight from a git repository you own, following the Org Context Spec. Agents read the context before they work, and propose changes as pull requests that a human reviews: the model recommends, a human decides.
Endpoint: POST /mcp (streamable HTTP). Nothing is stored
server-side — your repo and token travel in the headers of each request.
Any GitHub repository (private is fine) holding markdown files in this structure at its root:
README.md ← reading order and writing rules; agents start here
organisation/ ← vision, goals
products/<area>/product.md ← per product: vision, effect goals, audience
products/<area>/actors/ ← actor files with assumptions
teams/ ← per team: what it builds, tracker mapping
method/ ← how you write epics, stories, hypotheses
system/ ← pointers to the systems that own the details
Start small — a README and one product file is enough to be useful. Or start from nothing: connect an empty repository and ask your AI to set it up — it gets the spec's starter templates from the server, interviews you about what you know so far, and seeds the repo through the same review loop that later maintains it.
Install it on your context repository only. You come back here with a ready-to-run command per repository — and nothing is stored on the server: the key in the command is derived, not saved. Revoke it any time by uninstalling the App.
On GitHub: Settings → Developer settings → Fine-grained tokens → Generate new token.
Contents: Read and write — to read the context
and commit changes.Pull requests: Read and write — every change
becomes a pull request for human review.Both permissions are needed. With Contents alone, a proposal gets committed to a branch but the pull request fails with 403.
Then fill in the form — the command is generated locally in this page, nothing is sent anywhere:
Then run this in your terminal to connect Claude Code:
Other MCP clients (Claude Desktop, VS Code, Cursor, …): configure an HTTP server with the same URL and the three headers shown above.
The full specification, starter template, and a worked example live in the Org Context Spec repository.