# Systeme.io MCP server for sales and pages

**Yes, ChatGPT, Claude and other AI agents can work in your Systeme.io account.** Use Cotlet.dev to manage funnels, email campaigns, sales and pages in your signed-in account.

## What you can ask

> Show last month's sales by country.

> Refund this sale and send its invoice, after I approve it.

> Change the price on every page in this funnel.

> Copy this sales page for an A/B test.

> Publish this Markdown as a blog post after I review it.

## Connect in 2 minutes

Get your API key at https://cotlet.dev/app and export it as `COTLET_API_KEY`.

### Claude Code

```bash
claude mcp add --transport http cotlet https://cotlet.dev/mcp/v1 --header "Authorization: Bearer $COTLET_API_KEY"
```

### ChatGPT

Settings → Apps → add connector URL `https://cotlet.dev/mcp/v1`, then sign in with Cotlet.dev. No API key needed.

### Cursor

Copy `.cursor/mcp.json` from this repo into your project:

```json
{
  "mcpServers": {
    "cotlet": {
      "url": "https://cotlet.dev/mcp/v1",
      "headers": {
        "Authorization": "Bearer ${COTLET_API_KEY}"
      }
    }
  }
}
```

## Run it locally (stdio)

This repo is a real MCP server. It speaks MCP over stdio, lists its Systeme.io tools without any key, and forwards every tool call to the hosted Cotlet.dev server. The hosted URL above stays the recommended way. Use this when your client only starts local servers.

```json
{"mcpServers":{"systeme-io":{"command":"uvx","args":["systeme-io-mcp"],"env":{"COTLET_API_KEY":"your-key"}}}}
```

Or with Docker:

```bash
docker build -t systeme-io-mcp .
docker run -i --rm -e COTLET_API_KEY systeme-io-mcp
```

Tools: `systeme_io_guide`, `systeme_io_status`, `systeme_io_open`, `systeme_io_read`, `systeme_io_click`, `systeme_io_type`, `systeme_io_close`. Without `COTLET_API_KEY` a tool call answers: "Set COTLET_API_KEY. Get a key at https://cotlet.dev/app".

## Command line

Python 3.10+, nothing else to install. From PyPI:

```bash
pip install systeme-io-mcp        # or run it once: uvx systeme-io-mcp connect
systeme-io-mcp connect
```

Or straight from this repo:

```bash
export COTLET_API_KEY="your-key"
python3 systeme_io_agent.py connect   # ready config for Claude Code, Cursor, ChatGPT
python3 systeme_io_agent.py status    # is Systeme.io ready in your Cotlet.dev account
python3 systeme_io_agent.py guide     # Systeme.io screens and sign-in link
python3 systeme_io_agent.py read      # open Systeme.io, read the page, close the browser
python3 systeme_io_agent.py tools     # list Cotlet.dev tools
python3 systeme_io_agent.py serve     # start the stdio MCP server (same as no argument)
```

## Questions from Systeme.io users

**How do I connect Systeme.io to ChatGPT or Claude?**

Sign up at cotlet.dev, open Systeme.io in its Cloud Browser, sign in with your own account and enable it for agents. Add https://cotlet.dev/mcp/v1 as the MCP server or connector URL. No Systeme.io API key is needed.

**What can an AI agent do in Systeme.io?**

Cotlet can read sales and reports, manage funnel pages, handle email campaigns and publish blog posts. Actions that refund, invoice or publish wait for your approval.

**Does Systeme.io have an MCP server or API?**

Systeme.io has a public API and an official MCP server, but they do not cover transactions, refunds, invoices, blog posts or all funnel page edits. Cotlet connects to your account for those workflows.

**Can I use Systeme.io through REST?**

Yes. Create a Cotlet API key with access to Systeme.io, then send requests to https://cotlet.dev/mcp/v1 with Authorization: Bearer. The same enabled account and approval rules apply.

## Find it on

- [Systeme.io on Cotlet.dev](https://cotlet.dev/integrations/systeme-io-api-mcp-server?utm_source=github&utm_medium=readme&utm_campaign=systeme-io&utm_content=find)
- [PyPI package systeme-io-mcp](https://pypi.org/project/systeme-io-mcp/)
- [Odel](https://odel.app/modules/cotlet/systeme-io)
- [mcpbeat](https://mcpbeat.com/mcp-servers/cotlet/systeme-io/)
- [Step-by-step guide (PDF) on Internet Archive](https://archive.org/details/cotlet-connect-systeme-io-to-ai-agents-guide)

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---

More: https://cotlet.dev/integrations/systeme-io-api-mcp-server?utm_source=github&utm_medium=readme&utm_campaign=systeme-io

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