Pickle

io.github.adityaarsharma由 GitHub 帳號 adityaarsharma 發布v1.1.0更新於 Oct 24, 2026

Free, local MCP server that audits ClickUp, Slack & Teams for work that slipped through.

已驗證STDIO僅桌面效率與工作流溝通與協作

概覽

AI 產生的概覽

免費的本地 MCP 伺服器,稽核 ClickUp、Slack 與 Teams 中停滯的任務、未兌現的承諾,以及埋在聊天裡的决定。

可以做什麼
對 ClickUp 任務、Slack 訊息與 Microsoft Teams 資料執行唯讀稽核,找出被漏掉的工作,例如長期停滯的進行中事項、未兌現的承諾、無人跟進的委派,以及埋在私訊裡的決定。依嚴重程度排序並優先回報最嚴重的問題,推理由你自己的 AI 模型完成。在你明確要求時,也可以建立提醒、留言或任務。可透過設定封鎖所有寫入類工具,把伺服器限制為唯讀行為。
適用情境
適合團隊主管與營運人員,想跨工具檢查 ClickUp、Slack 或 Teams 中漏掉的工作,又不想為各應用程式的 AI 附加功能付費。只接 ClickUp 也是不錯的起點;加入 Slack 或 Teams 才能啟用跨工具模式。
執行需求
透過 npm 套件 pickle-mcp 以 npx 在本機執行,並在 MCP 用戶端中設定。需要以環境變數提供你自己的平台權杖:CLICKUP_API_KEY(pk_ 權杖),以及選用的 SLACK_TOKEN(xoxp- 使用者權杖)與 TEAMS_TOKEN(Microsoft Graph 存取權杖)。不需向作者註冊帳號,也沒有託管伺服器。
安裝前請注意
它會用你的權杖直接讀取 ClickUp、Slack 與 Teams 內容,因此這些權杖會存放在本機 MCP 設定中,需要妥善保護。稽核本身是唯讀的,但伺服器也提供寫入工具,可建立提醒、留言或任務;設定 PICKLE_READONLY=1 可封鎖所有寫入類工具。README 的一鍵安裝指令會把遠端腳本直接交給 bash 執行,建議先檢視腳本或改用手動安裝。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Pickle,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

🥒 Pickle: the free AI ops manager for ClickUp, Slack & Teams

[Pickle: catch what slips through ClickUp, Slack and Teams. The AI ops manager that catches what your team dropped]

ClickUp Brain reads your tasks. Slack AI reads your messages. Both are paid add-ons, and each only sees its own app. Pickle is a free AI ops manager that runs on your own machine, reads across all three, and tells you what slipped through: stale tasks, dropped promises, decisions buried in a DM.

[License: MIT] [MCP compatible] [No account · no telemetry] [Works with] [Star this repo] [Leave a tip]

Pickle is a free, open-source AI ops manager for your team, packaged as an MCP server you run yourself. Give it your own ClickUp / Slack / Teams token, and your AI client (Claude, Cursor, Codex, Cline, Zed…) audits your workspace the way a sharp ops manager would: catching the work that quietly fell through.

No account. No hosted server. No key from us. No telemetry. Pickle adds no middleman. It talks only to your tools, with your token. Nothing is sent to us, because there's no "us" to send it to.

⭐ Pickle is free and will stay free. There is no paid tier. If you think workspace tools should run on your own machine, star the repo. Stars are the only way it gets found.


Why this is different

ClickUp BrainSlack AIPickle
Sees across your tools❌ ClickUp only❌ Slack only✅ ClickUp + Slack + Teams
Where your data flowsTheir cloudTheir cloudOnly to your own tools, with your token
A third party holds your tokenYesYesNo, it stays in your local config
CostPaid add-on~$10/user/moFree · MIT · open source
You can read every line❌❌✅ it's all right here

Honest version of the privacy claim: Pickle does read your ClickUp/Slack/Teams. That's the job. But it reads them directly, from your machine, with your token, and sends nothing to any Pickle server. Verify it yourself. The code is in server-remote/server.mjs, and there is no analytics, no beacon, no phone-home.


Install: one command

Guided: it asks which tools you use, points you to where each token lives, and writes your MCP config for you.

bash
curl -fsSL https://pickle.adityaarsharma.com/install.sh | bash

Or add it to your MCP client yourself (via npm):

json
{  "mcpServers": {    "pickle": {      "command": "npx",      "args": ["-y", "pickle-mcp"],      "env": { "CLICKUP_API_KEY": "pk_your_own_token" }    }  }}

Add SLACK_TOKEN (xoxp-…) and/or TEAMS_TOKEN to the same env block to switch on the cross-tool patterns. Restart your client. npx runs it locally on your machine, no global install, no clone.

The installer asks which tools you use (ClickUp / Slack / Teams), takes the token you already have for each, and writes the MCP config for your client automatically. No hand-editing, no key from us.

Prefer to do it by hand? See docs/manual-install.md. The only token you ever provide is your own platform token (e.g. ClickUp pk_… from Settings → Apps).

Then just ask your AI:

"Pickle, run my morning audit: scan my ClickUp from the last 7 days and show me the 3 worst things I missed, worst first."


What it catches

  • Stale in-progress: "doing" for days, zero activity
  • Dropped promises: "I'll do X by Friday" with no follow-through
  • Decisions buried in DMs: a call made in a thread that never became a task
  • Delegations nobody chased: you asked, it never landed, everyone forgot
  • Standup copy-paste, zombie tasks, empty-description work, blocker rot… full list in docs/patterns.md

Works with

Claude Code · Claude Desktop · Cursor · Codex · Cline · Continue · Zed · any MCP host. The reasoning runs in your model. Pickle just fetches and structures the data. Optional Claude Code skills add /pickle-* slash commands as a convenience layer.


Free, and what I ask instead of money

Pickle has no paid tier and never will. Instead:

  • ⭐ Star the repo if it caught even one thing worth fixing. A free tool has no ad budget, so a star is genuinely how the next person finds it.
  • 📮 Get update notes + workspace-AI tips: occasional, practical notes on using AI in real team workflows (the same patterns Pickle runs). Reply anytime with a suggestion or a pattern you want added. I read every one.

🧭 Want your team to actually use AI well?

Pickle is what I use to keep my own team honest. If you're rolling AI into how your company works (onboarding people onto it, wiring it into real workflows, choosing which LLM for what), reach out to me. I help teams go from "we bought AI licenses" to "AI is actually in our workflow," with real use-cases instead of hype.

Built in the open by Aditya Sharma, a marketer who codes.

FAQ

Is Pickle really free? Yes. MIT-licensed, no paid tier, no account, no credit card. I built it in the open; a ⭐ is the only thing I ask.

Do I need a Pickle account or an API key from you? No. Pickle issues nothing. The only token you provide is your own ClickUp / Slack / Teams token, and it lives in your local MCP config.

Does my data get sent to you or to any cloud? No middleman. Pickle runs on your machine and talks only to your tools (ClickUp / Slack / Microsoft Graph) using your token. There is no Pickle server, no telemetry, no phone-home. Pickle does read your ClickUp/Slack/Teams (that's the job), but it sends nothing to us. Verify it in server-remote/server.mjs.

Which AI clients does it work with? Any MCP-compatible host: Claude Code, Claude Desktop, Cursor, Codex, Cline, Continue, Zed, and more. The reasoning runs in your model.

What should I ask Pickle first? After installing, restart your AI client and paste: "Pickle, run my morning audit: scan my ClickUp from the last 7 days and show me the 3 worst things I missed, worst first." You get a ranked, punchy result instead of a data dump, so you feel the value on the first run.

How is this different from ClickUp Brain or Slack AI? Those are cloud add-ons that each see only their own tool and send your data to their servers. Pickle runs locally, reads across ClickUp + Slack + Teams, and keeps your token on your machine. Different axis: privacy + cross-tool, not "more features."

Is it safe to give it my token? The token stays in your local config file (chmod 600), and the code is open. Read it before you connect. Nothing is transmitted anywhere except the platform's own API.

Will Pickle change or delete anything in my tools? The audit itself is read-only — it only reads and reports. Pickle can create a reminder, drop a comment, or make a task if you explicitly ask it to (for example "remind me about XYZ-184"), because the server also exposes write tools for that. If you want a hard, code-level guarantee that nothing can be written or deleted no matter what a model asks, set PICKLE_READONLY=1 in the env block — it blocks every mutating tool at the server. Details in docs/security.md. You stay in control.

Do I need Slack and Teams too, or is ClickUp enough? ClickUp alone is a great start. Slack/Teams unlock the cross-tool patterns (decisions-in-DMs, ghost mode) because those need chat data.

Can it audit GitHub or other tools? Not yet. A GitHub audit (stale PRs, dropped reviews) is a planned/welcome contribution.

Is there a hosted version? No. Pickle is local by design. If you want your team to adopt AI tools like this well, reach out. That's the consulting I do.

Contributing

Issues and PRs welcome: new patterns, new connectors (a GitHub audit for stale PRs is a great first one), better client configs.

License

MIT © Aditya Sharma

來源:README.md,提交 df97d5c

工具

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版本歷史

1
  1. v1.1.0最新Sep 16, 2026

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