# picdrop MCP server

Connect picdrop to ChatGPT, Claude and other AI agents through Cotlet.dev. Review saved sets and color flags, compare image versions and prepare a retouching handoff in your signed-in picdrop account.

## What you can ask

> Review the client's saved set and color flags in the gallery I select.

> Compare this image with its previous edit.

> Export selected filenames and summarize requested changes for the retoucher.

## Connect in 2 minutes

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

### ChatGPT

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

### Claude Code

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

### 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 picdrop 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.

Run the included Python module with Python 3.10 or later:

```bash
python3 picdrop_agent.py serve
```

Or with Docker:

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

Tools: `picdrop_guide`, `picdrop_status`, `picdrop_open`, `picdrop_read`, `picdrop_click`, `picdrop_type`, `picdrop_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+, with no third-party runtime dependencies. Clone this repository and run:

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

## Questions from picdrop users

**How do I connect my account?**

Request access at https://cotlet.dev/signup?app=picdrop, sign in to picdrop in your Cotlet.dev Cloud Browser and enable it for agents.

**Can I compare image versions?**

Yes. File Versions must be enabled on a supported picdrop plan.

**Is there an official picdrop connection?**

picdrop documents an official MCP connection. See the live integration page for its documented scope and comparison.

**Is Cotlet.dev affiliated with picdrop?**

No. Cotlet.dev is independent and not affiliated with picdrop.

## Learn more

- [picdrop integration and hosted tools](https://cotlet.dev/integrations/picdrop-api-mcp-server)

---

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

Request access: https://cotlet.dev/signup?app=picdrop&utm_source=github&utm_medium=readme&utm_campaign=picdrop

## Workflows on the hosted integration

Examples documented on the live integration page:

- `dashboard_browse`
- `dashboard_sort`
- `file_download`
- `contact_sheet`
- `gallery_client_preview`
- `file_view`
- `file_versions_compare`
- `gallery_filter`

The local stdio adapter exposes seven browser helpers listed above. These helpers forward to Cotlet.dev; the workflow operations are documented on the hosted integration page.