How to connect Fresha to Claude Code, ChatGPT and any AI agent

Yes, Claude, ChatGPT and other AI agents can work in your Fresha account. Fresha's official ChatGPT and Claude apps help customers find and book appointments, not run your business. Cotlet.dev connects your own signed-in Fresha account to any AI agent, so the AI books, reschedules and looks up clients for you.

What you can ask

Book Maria Lopez for a gel manicure with Chloe on Thursday at 11 am.

Move all of Tom's Monday appointments to Wednesday at the same times.

How busy are we next week? Show which team member has the most free slots.

Which clients haven't visited in 60 days? List them with their last service and phone number.

Add a note to Priya Shah's client profile: allergic to latex, prefers afternoon slots.

Connect in 2 minutes

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

Claude Code

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:

{
  "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 Fresha 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.

{"mcpServers":{"fresha":{"command":"uvx","args":["fresha-mcp"],"env":{"COTLET_API_KEY":"your-key"}}}}

Or with Docker:

docker build -t fresha-mcp .
docker run -i --rm -e COTLET_API_KEY fresha-mcp

Tools: fresha_guide, fresha_status, fresha_open, fresha_read, fresha_click, fresha_type, fresha_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:

pip install fresha-mcp        # or run it once: uvx fresha-mcp connect
fresha-mcp connect

Or straight from this repo:

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

Questions from Fresha users

Does Fresha have an API or data connector?

You don't need one. Cotlet.dev works in your own signed-in Fresha account, so your AI agent can read and change appointments and client records without a Fresha API key.

How do I connect Fresha to ChatGPT?

Fresha's own ChatGPT app is for customers finding appointments. To manage your business, add Cotlet.dev as an app in ChatGPT (Settings → Apps, connector URL https://cotlet.dev/mcp/v1), sign in to Fresha once in your Cotlet.dev Cloud Browser, and ask ChatGPT in plain words. No code and no Fresha API key.

Is there a way to use Claude with Fresha?

Yes. In Claude Code run the one-line claude mcp add command above; in the Claude app add https://cotlet.dev/mcp/v1 as a custom connector. Claude then works in your own Fresha account, not just the customer booking connector.

Is there a Fresha MCP server?

Fresha's official ChatGPT and Claude integrations are customer-facing: they show availability, prices and venues, then send people to Fresha to book. Cotlet.dev is a hosted MCP server that works in your Fresha business account for you, 24/7, with Claude, ChatGPT, Cursor, Codex, n8n, Make and Zapier.

Find it on

• Fresha on Cotlet.dev
• PyPI package fresha-mcp
• Step-by-step guide (PDF) on Internet Archive

Also works with

• Mangomint MCP
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• Contractor+ MCP
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• All apps connected through Cotlet.dev

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

Start free: https://cotlet.dev/signup?app=fresha&utm_source=github&utm_medium=readme&utm_campaign=fresha