Bring Sedai Into the Agents You Already Use

Sedai's MCP (Model Context Protocol) integration puts the same capabilities available in Sed — Sedai's AI assistant — directly into your own agents. No custom integration, no separate login: just add Sedai as a tool your agent already knows how to use.

If Your Agents Can't Reach Sedai, They're Missing Part of the Picture

Knowledge about your cloud and AI infrastructure is scattered — cost data in one tool, optimization opportunities in another, resource configuration somewhere else. Increasingly, teams are pulling that picture together with their own agents. Sedai should be one of the tools those agents can reach.

Custom integrations don't scale.

Wiring your own agent or internal tooling into another platform's API usually means building and maintaining a bespoke integration for each one.

Agent-to-agent workflows need a common interface.

As more of the day-to-day work moves through agents talking to other agents and systems, a platform that's only reachable through its own UI becomes a dead end in that workflow.

A platform's capabilities shouldn't lag behind its own product.

Some integrations are narrow, bolt-on developer utilities — separate from, and slower to update than, the vendor's own in-product experience.

Key Capabilities

Sedai's MCP server exposes the same tools and skills that power Sed, so your own agents get the same capabilities Sedai's assistant has — nothing held back.

Pull Information From Sedai

Ask your agent to check optimization status, pull savings data, or surface opportunities from Sedai — no dashboard required.

Take Action Through Sedai

Ask your agent to kick off the same actions available in Sed — adjusting settings, managing resource groups — as part of a larger workflow.

Plug Into What You Already Run

Add Sedai as an MCP tool in Claude Code, Copilot, or your own internal agent tooling, alongside whatever else is already in your stack.

Grow Automatically With Sed

Sed and MCP share one underlying capability layer. As Sed gains new skills, they become available through MCP too, with no separate roadmap or lag.

One Capability Layer, Two Surfaces

Everything available through Sedai's MCP integration is also available in Sed, Sedai's AI assistant — and vice versa. There's no separate roadmap and no feature gap between the two; they're built from the same underlying tools and skills.