Pipecore

io.pipecorev1.0.0Updated Oct 5, 2026

Deploy and operate apps with AI agents · Деплой и поддержка приложений через AI

VerifiedStreamable HTTPWeb executableCloud & Infrastructure

Overview

AI-generated overview

Pipecore is a remote MCP endpoint that lets an assistant deploy and operate applications through AI agents.

What it does
Pipecore exposes a remote MCP endpoint at api.pipecore.io over streamable HTTP. According to its registry description, it is meant for deploying and operating apps with AI agents. No tool list is published in the manifest, so the exact capabilities are not documented here.
When to use it
Consider it when you want an assistant to help deploy and run applications rather than only write code. Because the tool list is not published, confirm the available actions before relying on it.
Requirements
A remote MCP client that supports streamable HTTP, pointed at the api.pipecore.io endpoint. The manifest declares no authentication, environment variables, headers, or packages, so no credentials are documented.
Before you install
The manifest declares no authentication, which is unusual for a service that deploys and operates applications; verify how access is actually controlled before connecting. Deployment and operations actions can change or remove running systems, so review what the assistant is allowed to do. No tool list is published, so the scope of write or destructive actions is unknown.

Installation

In SourceWeft

  1. Open Pipecore in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "platform": {
      "type": "http",
      "url": "https://api.pipecore.io/mcp"
    }
  }
}

Tools

0
Tool metadata has not been indexed yet.

Version history

1
  1. v1.0.0LatestOct 5, 2026