Model Context Protocol

Give AI the context behind the work.

Connect compatible AI agents to your actions, notes, and long-term knowledge—without copying context between tools.

Start for free
Secure connection
Your AI agent

“What should I move forward today?”

The agent asks with the goal in view.

MCP

Permissioned context, on demand

OAuth · Read / write scopes

Your workspace

Launch research

In progress · Today

Interview notes

Tagged · Research

Decision context

Long-term note

What agents can do

From finding context to moving the work.

MCP turns ActionDrivenNote into a working memory an agent can use, while authorization keeps access explicit.

01 Find

Bring the right work into context

Let an agent list and search actions, inspect status and due dates, and follow the structure around the work.

02 Read

Read the thinking behind an action

Open an action document as Markdown, including the notes and useful context collected while the work was moving.

03 Act

Move work forward with permission

Create and update actions, edit documents, manage tags, and attach files when write access has been approved.

Connect

One URL. Your account. Your permission.

Add the remote server to a compatible MCP client. Authentication happens through ActionDrivenNote in your browser.

Server URL
https://app.actiondrivennote.com/api/mcp
  1. 01

    Add the server

    Paste the URL into the remote MCP server settings in your AI client.

  2. 02

    Sign in

    Use your ActionDrivenNote account when the authorization page opens.

  3. 03

    Review access

    Approve the requested read or write permission, then return to the client.

Questions

Before you connect.

What is MCP?

Model Context Protocol is an open way for AI applications to connect to external tools and data. ActionDrivenNote uses it to make your work context available to compatible AI clients.

Do I need MCP to use ActionDrivenNote?

No. ActionDrivenNote works as a planning and note-taking app on its own. MCP is optional and is only needed when you want an AI client to work with that context.

Can an AI agent change my data?

Only when write access is granted. MCP clients can request read access or read-and-write access, and ActionDrivenNote shows an authorization step before connecting.

Which MCP clients can connect?

Use a remote MCP client that supports HTTP transport and OAuth authorization. Add the ActionDrivenNote server URL in the client, then follow its sign-in flow.

Shared working memory

Give the agent context that survives the chat.

Start with your own actions and notes. Connect an agent when you are ready.