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platform201
AI Assistant Integration (MCP)

Run platform201 From
the AI Tool You Already Use

With the platform201 MCP server, Claude, ChatGPT, Cursor, VS Code, and other MCP clients can work with your projects, environments, Blueprints, and infrastructure graph.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Gemini
  • Grok
  • Cline
platform201MCP server

What Your Assistant Can Do in platform201

After you connect, your assistant acts as you, inside the spaces your account can access.
It works with the same projects, environments, and graph that you see in platform201.

Browse Shared Blueprints

Ask for the list of Blueprints, the shared templates on the platform. Your assistant reads their graphs and descriptions before you pick one.

platform201MCP ServerGatewayContainerList the available platform201 BlueprintsReading platform201Here are the Blueprints on the platform:Scheduler with Python ServiceMCP ServerFull-Stack Next.js ApplicationSuggest a blueprint...List the available platform201 Blueprints

Create Projects and Environments

Ask your assistant to create a project of your own and add an environment to it. It works inside the space you signed in to.

platform201Projects+ New projectacme-api0 environmentsNo environments yet1 environmentstagingCreate a project with an environmentWorking in platform201Done. I created acme-api and addeda staging environment to it.Suggest a blueprint...Create a project with an environment

Set Environment Variables

Give your assistant the variables that your services need. It adds each one to the environment, so the nodes can refer to it by name.

platform201Environment variablesstagingLOG_LEVELinfoAPP_ENVstagingAPI_HOSTapi.example.comSet these variables in stagingWorking in platform201Done. I added 3 variables to staging:LOG_LEVELAPP_ENVAPI_HOSTSuggest a blueprint...Set these variables in staging

Inspect the Deployment Graph

Ask what an environment contains. Your assistant reads its nodes, connections, and settings, and answers from the current graph.

platform201GatewayContainerNeonDBWhat does staging contain?Reading platform201staging has 3 nodes and 2 connections:Gateway → ContainerContainer → NeonDBSuggest a blueprint...What does staging contain?

Use platform201 Where You Already Write Code

Most developers already work with an AI assistant in an editor, a terminal, or a chat app. Connect it to platform201, and infrastructure tasks stay in the same window as your code.

Inside Your Code Editor

Cursor, Windsurf, Cline, and VS Code each connect with one config file.

Inside Your Chat App

Claude Desktop, ChatGPT, and Grok, each connect through a custom connector.

Inside Your Terminal

Claude Code, Codex, and Gemini CLI each add the server in one step.

A Sample Setup: Cursor Connected to platform201

Each client connects in a similar way. This sample uses Cursor: you add the server, sign in once, check the connection, and then give your assistant its first request.

1

Add the MCP Server

Create a Cursor MCP config file for your project, and add the platform201 MCP server URL path to it. Then enable the server in Cursor.

2

Sign In and Approve

Select the login prompt. Your browser opens, and you sign in to platform201 and approve access. Cursor stores and refreshes the token.

3

Check the Connection

Ask Cursor: “List the available platform201 Blueprints.” If you get a list of Blueprints in the reply, it means that the connection works.

4

Make a First Request

Ask Cursor to create a project and add an environment to it. The new project will appear in your platform201 space, ready for services.

More Ways to Work With AI on platform201

An outside assistant is one way to use AI with platform201. You can also use the built-in assistant, review its work on the graph, or run an MCP server of your own.

Bring Your Assistant to platform201

Create your platform201 space, add the server to the AI tool you already use, and sign in once. Then ask your assistant for the Blueprints, a project, or an environment.

FAQ

The Model Context Protocol is an open standard that lets AI assistants use outside tools and data. A service runs an MCP server that offers a set of tools, and an AI client calls those tools for the user. With MCP, one integration works across many assistants.

A client needs three details to connect to a remote MCP server:

• The server URL

• The transport, such as Streamable HTTP

• The sign-in method, such as OAuth or an API key

The platform201 MCP server uses Streamable HTTP and OAuth, so AI clients can work with your projects, environments, Blueprints, and infrastructure graph.