Let agents drive the flow API over MCP
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The engine now speaks MCP at /mcp, with a built-in OAuth 2.1 authorization
server in front of it: an agent registers itself, sends a human to the browser
to approve it, and exchanges the resulting code for a token. PKCE is required,
codes are single-use and stored only as hashes, the browser is redirected to
the URI that was registered rather than the one asked for, and refresh tokens
rotate so that replaying a spent one revokes the whole line.

Twenty tools cover reading, building, publishing and running flows, and each
one calls the same REST endpoint the dashboard calls, in-process, carrying the
caller's own token. That keeps one description of what a flow is and what may
be done to it — validation, the draft/publish split, the version check — and
means an agent can do nothing a person could not do in the browser.

Agent tokens are RS256 with a keypair of their own rather than the secret that
signs browser sessions, so deleting the key withdraws every agent without
logging anyone out, and deps.decode_token grew the branch that trusting a
second issuer will need when the hosted login arrives.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
Melvin Strobl
2026-08-16 00:22:41 +02:00
co-authored by Claude Fable 5
parent 3724b68f23
commit 8d82d6c4ec
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@@ -75,7 +75,13 @@ external interfaces. See `docs/architecture/structure.canvas` → *Backend M
- [ ] Test nodes: a small node dragged onto an existing one, smoke or unit, blocking
deployment on failure
- [ ] User management scoped per flow and per data set
- [ ] LLM interface for natural-language flow authoring
- [x] MCP server over the same API: agents authenticate through a built-in
OAuth 2.1 authorization server (dynamic registration, PKCE, rotating
refresh tokens) and drive the flow API through 20 tools. Tokens are
RS256, signed with their own keypair, so the set can be revoked on its
own — and an additional issuer is one branch in `deps.decode_token`,
which is the seam remote access needs later
- [ ] LLM interface for natural-language flow authoring beyond the MCP tools
## Phase 2 — Backend: processing