Pixieset Mcp

cotlet-connect由 GitHub 帳號 cotlet-connect 發布v0.0.0-61fc06c28e76更新於 Nov 10, 2026

**Yes, Claude, ChatGPT and other AI agents can work in your Pixieset account.** As of November 2026, Pixieset has no official app in ChatGPT and no official connector in Claude. Cotlet.dev connects your own signed-in Pixieset account to any AI agent, so you can ask in plain words and the AI delivers galleries, books sessions and follows up with clients for you.

未驗證STDIO僅桌面AI 與機器學習

概覽

AI 產生的概覽

透過 Cotlet.dev 把助理接上你已登入的 Pixieset 帳號,用來交付相簿、預約拍攝並追蹤客戶。

可以做什麼
  • 在託管的瀏覽器工作階段中開啟、讀取、點擊與輸入 Pixieset 頁面,之後再關閉
  • 確認 Pixieset 在 Cotlet.dev 帳號中是否就緒,並取得 Pixieset 畫面與登入連結的說明
  • 交付客戶相簿、設定到期日,並查看已交付但尚未被瀏覽的相簿
  • 依客戶、日期、時間與方案資訊預約拍攝,並寄送合約與發票
  • 為未付款發票草擬並寄送客戶追蹤訊息與付款提醒
適用情境
適合攝影師與工作室經營者,想用自然語言讓 AI 助理處理 Pixieset 相簿交付、拍攝預約與客戶追蹤;也適合用戶端只能啟動本機伺服器,或想在 Claude、ChatGPT 使用託管連接器的情況。
執行需求
需要 Cotlet.dev 帳號與匯出為 COTLET_API_KEY 的 API 金鑰(ChatGPT 連接器則以 Cotlet.dev 登入)。建議使用託管端點;本機 stdio 伺服器需要 Python 3.10+(uvx 或 pip)或 Docker,並會把每次工具呼叫轉送到託管的 Cotlet.dev 伺服器。需要網路連線。
安裝前請注意
此伺服器會在你已登入的 Pixieset 帳號內操作,可能向客戶寄送相簿、合約、發票與電子郵件,並變更預約資料。請妥善保管 COTLET_API_KEY。工具呼叫與帳號操作會轉送至託管的 Cotlet.dev 服務,該服務可看到你的 Pixieset 工作階段資料。寄出客戶訊息前請先審閱。

風險摘要:Parsed 0 tools; runtime introspection skipped: Static mode requested. Review provenance before publishing broadly.

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Pixieset Mcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

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

Yes, Claude, ChatGPT and other AI agents can work in your Pixieset account. As of November 2026, Pixieset has no official app in ChatGPT and no official connector in Claude. Cotlet.dev connects your own signed-in Pixieset account to any AI agent, so you can ask in plain words and the AI delivers galleries, books sessions and follows up with clients for you.

What you can ask

Send the Martinez wedding gallery to Elena and set it to expire in 30 days.

Which sessions are booked next week? List the client, date, time and package.

Book Jordan Lee for a 1-hour family session on Saturday at 10 am and send the contract and invoice.

Which galleries delivered in the last 14 days haven't been viewed yet? Draft a friendly reminder for each client.

List unpaid invoices over $500 and email those clients a payment reminder.

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

Or with Docker:

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

Tools: pixieset_guide, pixieset_status, pixieset_open, pixieset_read, pixieset_click, pixieset_type, pixieset_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 pixieset-mcp        # or run it once: uvx pixieset-mcp connectpixieset-mcp connect

Or straight from this repo:

bash
export COTLET_API_KEY="your-key"python3 pixieset_agent.py connect   # ready config for Claude Code, Cursor, ChatGPTpython3 pixieset_agent.py status    # is Pixieset ready in your Cotlet.dev accountpython3 pixieset_agent.py guide     # Pixieset screens and sign-in linkpython3 pixieset_agent.py read      # open Pixieset, read the page, close the browserpython3 pixieset_agent.py tools     # list Cotlet.dev toolspython3 pixieset_agent.py serve     # start the stdio MCP server (same as no argument)

Questions from Pixieset users

Does Pixieset have an API?

You don't need one. Cotlet.dev works in your own signed-in Pixieset account, so your AI agent can deliver galleries, manage bookings and follow up with clients without a Pixieset API key.

How do I connect Pixieset to ChatGPT?

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

Is there a way to use Claude with Pixieset?

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 Pixieset account.

Is there a Pixieset MCP server?

Pixieset's Apps & Plugins page lists no ChatGPT or Claude integration. Cotlet.dev is a hosted MCP server that works in Pixieset for you, 24/7, with Claude, ChatGPT, Cursor, Codex, n8n, Make and Zapier.

Find it on

Also works with


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

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

來源:README.md,提交 61fc06c

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.0.0-61fc06c28e76最新Nov 10, 2026

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