SmugMCP
Enables management of a signed-in SmugMug account in plain language: creating and configuring galleries (privacy, client share links, price lists), listing galleries by visibility or title, querying gallery visit statistics, and renaming photos by date and location.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@SmugMCP Create a private gallery called Smith Wedding 2026 and share the link."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
How to connect SmugMug to Claude Code, ChatGPT and any AI agent
Yes, Claude, ChatGPT and other AI agents can work in your SmugMug account. SmugMug's API v2 needs an API key, OAuth and a developer. Cotlet.dev connects your own signed-in SmugMug account to any AI agent with no code, so you manage galleries in plain words.
What you can ask
Create a gallery "Smith Wedding 2026", make it private and share the link with the client.
Which galleries got no visits in the last 6 months?
Rename the photos in my latest gallery by date and location.
Set the price list for the new portrait galleries to my standard one.
List every gallery that is still public but marked client-only in its title.
Related MCP server: Google Photos MCP
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 SmugMug 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":{"smugmug":{"command":"uvx","args":["smugmug-mcp"],"env":{"COTLET_API_KEY":"your-key"}}}}Or with Docker:
docker build -t smugmug-mcp .
docker run -i --rm -e COTLET_API_KEY smugmug-mcpTools: smugmug_guide, smugmug_status, smugmug_open, smugmug_read, smugmug_click, smugmug_type, smugmug_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 smugmug-mcp # or run it once: uvx smugmug-mcp connect
smugmug-mcp connectOr straight from this repo:
export COTLET_API_KEY="your-key"
python3 smugmug_agent.py connect # ready config for Claude Code, Cursor, ChatGPT
python3 smugmug_agent.py status # is SmugMug ready in your Cotlet.dev account
python3 smugmug_agent.py guide # SmugMug screens and sign-in link
python3 smugmug_agent.py read # open SmugMug, read the page, close the browser
python3 smugmug_agent.py tools # list Cotlet.dev tools
python3 smugmug_agent.py serve # start the stdio MCP server (same as no argument)Questions from SmugMug users
Does SmugMug have an API?
Yes, SmugMug has API v2, but it needs an API key, OAuth and code. Cotlet.dev gives your AI agent the same work in your own SmugMug account with no API key and no developer.
How do I connect SmugMug to ChatGPT?
Add Cotlet.dev as an app in ChatGPT (Settings → Apps, connector URL https://cotlet.dev/mcp/v1), sign in to SmugMug once in your Cotlet.dev Cloud Browser, and ask ChatGPT in plain words. No code and no SmugMug API key.
Is there a way to use Claude with SmugMug?
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 SmugMug account.
Is there a SmugMug MCP server?
SmugMug has no official MCP server. Cotlet.dev is a hosted MCP server that works in SmugMug for you, 24/7, with Claude, ChatGPT, Cursor, Codex, n8n, Make and Zapier.
Find it on
Also works with
Start free: https://cotlet.dev/signup?app=smugmug&utm_source=github&utm_medium=readme&utm_campaign=smugmug
Available Tools
7 toolssmugmug_clickBInspect
Click a numbered element on the current SmugMug page.
Inputs: element (required).
smugmug_closeAInspect
Close the SmugMug browser session when the work is done, so credits stop running.
Inputs: no named parameters.
smugmug_guideAInspect
How to work in SmugMug (galleries and photo uploads): its screens and the sign-in link. Call this first.
Inputs: task.
smugmug_openBInspect
Open a SmugMug page in your signed-in Cloud Browser (default https://www.smugmug.com) to work with galleries and photo uploads.
Inputs: url.
smugmug_readAInspect
Read the current SmugMug page: its text and numbered buttons, links and fields.
Inputs: element.
smugmug_statusAInspect
Check that your Cotlet.dev account and SmugMug are ready: account, credits and SmugMug connection.
Inputs: no named parameters.
smugmug_typeBInspect
Type text into a numbered field on the current SmugMug page.
Inputs: text (required), element (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 7 tools
Each tool maps to a distinct step in a browser-automation workflow: guide (instructions), status (account readiness), open, read, click, type, close. The open/read/click/type/close primitives are classic and non-overlapping, and guide vs. status are clearly separated as onboarding instructions vs. live account checks.
All tools share the smugmug_ prefix and snake_case, so the namespace is predictable. Minor deviation: most names are verbs (open, read, click, close, type) but guide and status are nouns, slightly breaking the verb_noun pattern.
Seven tools is well-scoped for a site-specific browser automation server; each tool (guide, status, open, read, click, type, close) has a clear, necessary role in the workflow.
The core automation lifecycle (open, inspect, interact, close) is fully covered, with a guide and status check as helpful extras. Gaps exist around photo uploads specifically (no explicit file-selection/upload tool) and secondary interactions like scrolling or dropdown selection, though agents may work around some via type/click.
Maintenance
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