Mia-Platform Console MCP Server

Overview

The Mia‑Platform Console MCP Server acts as a bridge between AI assistants and the Mia‑Platform Console, turning every console API into an AI‑friendly tool that can be invoked through the Model Context Protocol. By exposing the console’s resources, tools, prompts and sampling endpoints, developers can extend their AI workflows to create, update, and manage assets directly from within an assistant such as Claude or Gemini. This eliminates the need for manual API calls, streamlines automation pipelines, and unlocks powerful integrations across IDEs, chat interfaces, and command‑line clients.

At its core, the server translates standard MCP requests into authenticated console API calls. It supports both machine‑to‑machine authentication via a service account (using client ID and secret) and interactive OAuth2.1 flows that allow users to log in with their own credentials. Once authenticated, the server exposes a rich set of capabilities: listing projects and environments, creating or updating resources, triggering workflows, and even performing bulk operations. Because the MCP specification guarantees that clients can discover these capabilities at runtime, any compliant AI tool can automatically adapt to the console’s API surface without hard‑coding endpoints.

Key features include:

• Dynamic Client Registration – Clients discover the console’s authentication endpoints, enabling seamless OAuth flows that respect user permissions.
• Resource Management – CRUD operations on projects, environments, and other console entities are exposed as MCP tools, allowing assistants to orchestrate infrastructure changes on the fly.
• Tool and Prompt Exposure – The server publishes console‑specific prompts and reusable tool definitions, letting developers compose complex AI workflows that incorporate domain knowledge from the console.
• Sampling and Streaming – Real‑time feedback is supported, so an assistant can stream console responses back to the user as they are received.
• Environment‑Aware Configuration – A single file controls host, port, logging and authentication details, making deployment straightforward in Docker or local Node.js environments.

In practice, this MCP server is invaluable for scenarios such as continuous deployment pipelines where an AI assistant can automatically provision environments, run tests, and deploy artifacts with a single command. It also shines in IDE integrations: a developer typing “Create a new test environment” in VS Code can trigger the console to spin up resources, all mediated by the MCP server. For teams that rely on conversational AI for operations management, the console MCP server removes friction between chat interactions and platform actions, ensuring that every instruction is executed reliably and securely.