Vexa
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Description from the maker (original English)
Free, local MCP server that audits ClickUp, Slack & Teams for work that slipped through.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
CLICKUP_API_KEY, SLACK_TOKEN, TEAMS_TOKENValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"pickle": {
"command": "npx",
"args": [
"-y",
"pickle-mcp"
],
"env": {
"CLICKUP_API_KEY": "your-value",
"SLACK_TOKEN": "your-value",
"TEAMS_TOKEN": "your-value"
}
}
}
}Run this in your terminal
claude mcp add pickle --env CLICKUP_API_KEY=your-value --env SLACK_TOKEN=your-value --env TEAMS_TOKEN=your-value -- npx -y pickle-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"pickle": {
"command": "npx",
"args": [
"-y",
"pickle-mcp"
],
"env": {
"CLICKUP_API_KEY": "your-value",
"SLACK_TOKEN": "your-value",
"TEAMS_TOKEN": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"pickle": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"pickle-mcp"
],
"env": {
"CLICKUP_API_KEY": "your-value",
"SLACK_TOKEN": "your-value",
"TEAMS_TOKEN": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account adityaarsharma, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: CLICKUP_API_KEY, SLACK_TOKEN, TEAMS_TOKEN
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Vexa, emailmd, MCP WhatsApp Cloud
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.
MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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.
| ClickUp Brain | Slack AI | Pickle | |
|---|---|---|---|
| Sees across your tools | ❌ ClickUp only | ❌ Slack only | ✅ ClickUp + Slack + Teams |
| Where your data flows | Their cloud | Their cloud | Only to your own tools, with your token |
| A third party holds your token | Yes | Yes | No, it stays in your local config |
| Cost | Paid add-on | ~$10/user/mo | Free · 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.
Guided: it asks which tools you use, points you to where each token lives, and writes your MCP config for you.
curl -fsSL https://pickle.adityaarsharma.com/install.sh | bash
Or add it to your MCP client yourself (via npm):
{
"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. ClickUppk_…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."*
docs/patterns.mdClaude 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.
Pickle has no paid tier and never will. Instead:
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](https://adityaarsharma.com/?src=pickle-readme). 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](https://adityaarsharma.com), a marketer who codes.
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.
Issues and PRs welcome: new patterns, new connectors (a GitHub audit for stale PRs is a great first one), better client configs.
MIT © Aditya Sharma