The full Misso loop, in your agent's voice. Build, deploy, attach a database, redeploy. No dashboards opened.
“Deploy this” from your agent. Misso uploads, builds, runs, returns a live URL. No Dockerfile to write. No console to open.
add_resource(postgres) provisions it, mounts the connection string, redeploys your service. DATABASE_URL is wired before the call returns.
Summaries shaped for an LLM context window, not a 200 MB log dump. The agent finds the smoking gun in one tool call.
compare_deploys(v9, v10), code diff, env diff, error-rate spike, all in one tool response.
When the auth route breaks again, your agent knows you forgot GOOGLE_CLIENT_SECRET last time. It doesn’t ask twice.
Claude Code, Cursor, Lovable, v0, Bolt, opencode. Same key, same tools. Switch IDEs without re-onboarding.
Misso's observability tools are designed for an agent to drive end to end. From anomaly to evidence-backed diagnosis to fix, in one conversation.
Most of Misso happens in the conversation. The dashboard is there for the moments you want a single pane of glass.
No. Other PaaS products don't have observability and aren't MCP-native. We're aimed at the conversation, not the dashboard.
They ship great PaaS. None has shipped a first-class deploy and observability MCP. Observability is half the story. Most agents can write code; the differentiator is whether they can read what production is doing afterward and explain it back. We have a 6–12 month lead before anyone matches the full surface.
Your image lives in Artifact Registry, your DB is Cloud SQL. Both yours. We don't lock the runtime.
No. The dashboard exposes the same operations for visual review, audit log browsing, and team handoff. The conversation is the primary surface, not the only one. Both run on the same API.
Yes. Your agent has real production reach. Don't use auto-accept, and read the tool call before you confirm it. Misso's responses are designed to make that fast: every mutating call shows you exactly what it'll do and what the blast radius is.
Because purple is overused. Because blue feels enterprisey. Because we wanted something that screams "developer tool" without screaming "another AI startup".