# How to connect DINGG to Claude Code, ChatGPT and any AI agent

**Yes, Claude, ChatGPT and other AI agents can work in your DINGG account.** DINGG has its own built-in AI assistant, which is separate from ChatGPT and Claude. Cotlet.dev connects your own signed-in DINGG account to any AI agent, so you can ask in plain words and the AI books, checks and follows up with clients for you.

## What you can ask

> Book Priya Sharma for a hair spa with Rohan on Saturday at 11 am and send her the confirmation on WhatsApp.

> What does tomorrow look like per stylist? List every free slot longer than 45 minutes.

> Which clients haven't visited in 60 days? Make a list with their phone number and last service.

> Move all of Neha's Sunday appointments to Kavya and let each client know.

> Add a new client, Arjun Mehta, 98200 12345, and book him a haircut and beard trim on Wednesday at 6 pm.

## 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 DINGG 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":{"dingg":{"command":"uvx","args":["dingg-mcp"],"env":{"COTLET_API_KEY":"your-key"}}}}
```

Or with Docker:

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

Tools: `dingg_guide`, `dingg_status`, `dingg_open`, `dingg_read`, `dingg_click`, `dingg_type`, `dingg_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 dingg-mcp        # or run it once: uvx dingg-mcp connect
dingg-mcp connect
```

Or straight from this repo:

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

## Questions from DINGG users

**Does DINGG have an API?**

DINGG publishes no public API, API keys or developer documentation. Cotlet.dev works in your own signed-in DINGG account instead, so your AI agent can book appointments, move bookings and find clients for you.

**How do I connect DINGG to ChatGPT?**

Add Cotlet.dev as an app in ChatGPT (Settings → Apps, connector URL `https://cotlet.dev/mcp/v1`), sign in to DINGG once in your Cotlet.dev Cloud Browser, and ask ChatGPT in plain words. No code and no DINGG API key.

**Is there a way to use Claude with DINGG?**

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 DINGG account.

**Is there a DINGG MCP server?**

DINGG has no official MCP server and no official app in ChatGPT or Claude (checked November 2026). Cotlet.dev is a hosted DINGG MCP server that works in your own account, with Claude, ChatGPT, Cursor, Codex, n8n, Make and Zapier.

**Is there an official DINGG app for ChatGPT or Claude?**

As of November 2026 we found no public official DINGG listing in ChatGPT's apps directory or Claude's connectors directory. DINGG's own AI assistant works inside DINGG. Cotlet.dev lets you use ChatGPT, Claude or any AI agent with your DINGG account today.

## Find it on

- [DINGG on Cotlet.dev](https://cotlet.dev/integrations/dingg-api-mcp-server?utm_source=github&utm_medium=readme&utm_campaign=dingg&utm_content=find)
- [PyPI package dingg-mcp](https://pypi.org/project/dingg-mcp/)
- [Step-by-step guide (PDF) on Internet Archive](https://archive.org/details/cotlet-connect-dingg-to-ai-agents-guide)

## Also works with

- [Mangomint MCP](https://github.com/cotlet-connect/mangomint-mcp)
- [Wanderlog MCP](https://github.com/cotlet-connect/wanderlog-mcp)
- [SmugMug MCP](https://github.com/cotlet-connect/smugmug-mcp)
- [Garmin Connect MCP](https://github.com/cotlet-connect/garmin-mcp)
- [Housecall Pro MCP](https://github.com/cotlet-connect/housecall-pro-mcp)
- [Medium MCP](https://github.com/cotlet-connect/medium-mcp)
- [Crexi MCP](https://github.com/cotlet-connect/crexi-mcp)
- [DistroKid MCP](https://github.com/cotlet-connect/distrokid-mcp)
- [LinkedIn MCP](https://github.com/cotlet-connect/linkedin-mcp)
- [EstimateOne MCP](https://github.com/cotlet-connect/estimateone-mcp)
- [Google Search Console MCP](https://github.com/cotlet-connect/google-search-console-mcp)
- [Lichess MCP](https://github.com/cotlet-connect/lichess-mcp)
- [Strava MCP](https://github.com/cotlet-connect/strava-mcp)
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- [Meetup MCP](https://github.com/cotlet-connect/meetup-mcp)
- [AccuRanker MCP](https://github.com/cotlet-connect/accuranker-mcp)
- [GetYourGuide MCP](https://github.com/cotlet-connect/getyourguide-mcp)
- [Idealista MCP](https://github.com/cotlet-connect/idealista-mcp)
- [Riverside MCP](https://github.com/cotlet-connect/riverside-mcp)
- [Udemy MCP](https://github.com/cotlet-connect/udemy-mcp)
- [Faire MCP](https://github.com/cotlet-connect/faire-mcp)
- [Teachable MCP](https://github.com/cotlet-connect/teachable-mcp)
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- [Buildertrend MCP](https://github.com/cotlet-connect/buildertrend-mcp)
- [Zoopla MCP](https://github.com/cotlet-connect/zoopla-mcp)
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- [Partiful MCP](https://github.com/cotlet-connect/partiful-mcp)
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- [Pixieset MCP](https://github.com/cotlet-connect/pixieset-mcp)
- [GlossGenius MCP](https://github.com/cotlet-connect/glossgenius-mcp)
- [ZenMaid MCP](https://github.com/cotlet-connect/zenmaid-mcp)
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- [Service Autopilot MCP](https://github.com/cotlet-connect/service-autopilot-mcp)
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- [Mindbody MCP](https://github.com/cotlet-connect/mindbody-mcp)
- [Meevo MCP](https://github.com/cotlet-connect/meevo-mcp)
- [DaySmart MCP](https://github.com/cotlet-connect/daysmart-mcp)
- [Acuity Scheduling MCP](https://github.com/cotlet-connect/acuity-scheduling-mcp)
- [Jane App MCP](https://github.com/cotlet-connect/jane-app-mcp)
- [FieldEdge MCP](https://github.com/cotlet-connect/fieldedge-mcp)
- [Phorest MCP](https://github.com/cotlet-connect/phorest-mcp)
- [Invoice Simple MCP](https://github.com/cotlet-connect/invoice-simple-mcp)
- [PhotoShelter MCP](https://github.com/cotlet-connect/photoshelter-mcp)
- [RazorSync MCP](https://github.com/cotlet-connect/razorsync-mcp)
- [ShootProof MCP](https://github.com/cotlet-connect/shootproof-mcp)
- [Invoice2go MCP](https://github.com/cotlet-connect/invoice2go-mcp)
- [Appointy MCP](https://github.com/cotlet-connect/appointy-mcp)
- [Contractor+ MCP](https://github.com/cotlet-connect/contractor-plus-mcp)
- [All apps connected through Cotlet.dev](https://github.com/cotlet-connect)

---

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

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