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Custom integration

Conversion MCP server

Work with your Conversion data from Claude, ChatGPT, Cursor, and any MCP client.

MCP
Two-way
Conversion

How it works

Conversion runs a remote Model Context Protocol server at mcp.conversion.ai, so AI clients such as Claude, ChatGPT, and Cursor can work with your workspace directly. Connected clients can look up contacts, companies, opportunities, campaigns, and performance, and create audiences, emails, forms, workflows, and campaigns as unpublished drafts. Nothing is sent, published, or activated without you.

What you can do

Ask your data anything

Count contacts in a segment, pull a campaign's members, or check a workflow's runs from the AI client your team already uses.

Build assets from a prompt

Draft an email, a form, a workflow, or a whole campaign over MCP. Each one lands in Conversion as a dormant draft for you to review.

Scoped to you

Each connection covers one business and one user, and can only see and do what your role in Conversion allows.

Nothing goes live on its own

New emails, forms, and workflows arrive as unpublished drafts. Sending, scheduling, publishing, and activating stay manual steps inside Conversion.

How to set it up

  1. 1 In ChatGPT, search the app directory for Conversion and connect it.
  2. 2 In Claude, Cursor, or another client that supports remote MCP servers, add https://mcp.conversion.ai/mcp.
  3. 3 Sign in with your Conversion account and authorize the business you want the client to use.
FAQ

Frequently asked questions

Yes. Conversion runs a remote Model Context Protocol server at https://mcp.conversion.ai/mcp. Add it to Claude, ChatGPT, Cursor, or any client that supports remote MCP servers, sign in, and authorize the business you want it to use.

No. The server uses OAuth. Your client opens a Conversion sign-in, you authorize one business, and the client handles the rest.

No. New emails, forms, and workflows are created as unpublished drafts, and the server has no tools to send, schedule, publish, or activate them. You take those steps in Conversion.

Both run on the same tools against the same workspace data. In the app, edits to existing assets are proposed for your approval and Conversion applies your business context. Over MCP, your client drives the model and edit tools apply immediately.

Put Conversion in your AI client

Book a demo and we'll walk through the MCP integration on a stack that looks like yours.