Shortly after Anthropic launched the Model Context Protocol (MCP),
we released mcp.run – a managed
platform that makes it simple to host and install secure MCP Servers. The
platform quickly gained traction, winning Anthropic’s San Francisco MCP
Hackathon and facilitating millions of tool downloads globally.

Since then, MCP has expanded well beyond Claude Desktop, finding its way into
products like Sourcegraph,
Cursor,
Cline,
Goose, and many others. While these
implementations have proven valuable for developers, we wanted to make MCP
accessible to everyone.

We asked ourselves: “How can we make MCP useful for all users, regardless of
their technical background?”

Introducing Tasks​

TL;DR Watch Tasks in action:

Today, we’re excited to announce Tasks – an AI Runtime that executes prompts
and tools, allowing anyone to create intelligent operations and workflows that
integrate seamlessly with their existing software.

The concept is simple: provide Tasks with a prompt and tools, and it creates a
smart, hosted service that carries out your instructions using the tools you’ve
selected.

What Makes Tasks Special?​

Tasks combine the intuitive interface of AI chat applications with the
automation capabilities of AI agents through two key components: prompts and
tools.

Think of Tasks a