Connect Paso to your AI

Add new tasks, re-plan them or analyze your work
done in Paso using AI of your choice.

Add new tasks, re-plan them or analyze your work done in Paso using AI of your choice.

Paso's MCP server lets an AI assistant work on your timeline the way you do. It can read what is planned, add tasks and notes, and move things between days and the backlog. It works on your account, so everything it adds shows up on all your devices, like anything you type yourself.

The server follows the Model Context Protocol (MCP), an open standard that Claude, ChatGPT, Cursor and many other AI clients support. Any of them connects with one address and your Paso login. No API keys. No configuration files.

It takes about a minute, and the steps below work the same in every client.

Before you start

  • Premium. The MCP server is part of Paso Premium. On the free plan, Settings > Integrations shows the plans.

  • A client that supports remote MCP servers. Most current AI clients do. If yours asks for a command instead of an address, see Clients without remote MCP support.

  • Your Paso login. The connection is tied to the account you sign in with, and to every project that account can see.

Setup

1

Copy the address

You will also find it in Paso under Settings > Integrations > MCP, ready to copy.

https://mcp.paso.to

2

Add it in your client
Claude

Open Claude app -> Settings -> Connectors -> Add -> Add custom connector

ChatGPT

Open Claude app -> Settings -> Plugins -> Add -> Add MCP server

3

Approve access

A browser window opens with the Paso sign-in page. Sign in with the account you use in the app and allow access. The window closes on its own.

4

Try it

Back in your client, ask: "What is on my timeline this week?" If the assistant answers with your tasks, you are connected.

Once connected, the assistant sees Paso as a set of tools it can call when your request needs them. You do not have to name the tools. You ask for what you want, in your own words.

Clients without remote MCP support

Some clients only run local servers and expect a command rather than an address. Use the mcp-remote bridge, which needs Node.js installed:

npx -y mcp-remote https://mcp.paso.to/

Or, as a configuration block, where your client keeps them:

{
"mcpServers": {
"paso": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.paso.to/"]
}
}
}

The bridge opens the same sign-in window and keeps the session for you.

Frequently
asked questions

Do I need Premium?

Which AI clients can connect?

What can the assistant see?

How do I disconnect?

The connection dropped, or the assistant says the server is not responding

Is there an SSE endpoint?

Is my data used to train AI models?