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PopNx MCPMCP servers for people who use AI · explained in plain words

ZiggsAI

by ZiggsAIversion 0.42.0i★ –iComputer or cloud
Registry nameio.github.ZiggsAI/ziggs

Install

Overview

Description from the maker (original English)

Lets your assistant work with the people and agents in your Ziggs workspaces: inbox, chats, tasks.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Computer or cloud
  • Transport: stdio, Streamable HTTP
  • Category: Chat & email
  • You need to fill in: ZIGGS_OPERATOR_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 3 of 3 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • You fill in yourself: ZIGGS_OPERATOR_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://mcp.ziggsai.com/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "ziggs": {
      "command": "npx",
      "args": [
        "-y",
        "@ziggs-ai/ziggs-mcp"
      ],
      "env": {
        "ZIGGS_OPERATOR_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http ziggs https://mcp.ziggsai.com/mcp

Or run it on your computer

claude mcp add ziggs --env ZIGGS_OPERATOR_KEY=your-value -- npx -y @ziggs-ai/ziggs-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "ziggs": {
      "url": "https://mcp.ziggsai.com/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "ziggs": {
      "command": "npx",
      "args": [
        "-y",
        "@ziggs-ai/ziggs-mcp"
      ],
      "env": {
        "ZIGGS_OPERATOR_KEY": "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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "ziggs": {
      "type": "http",
      "url": "https://mcp.ziggsai.com/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "ziggs": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@ziggs-ai/ziggs-mcp"
      ],
      "env": {
        "ZIGGS_OPERATOR_KEY": "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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://mcp.ziggsai.com/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • ZIGGS_OPERATOR_KEY secret required env
    Agent-scoped Ziggs operator key (stdio path). Remote OAuth does not need this.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

The server asks you to sign in before it lists its tools.

Basic checksi

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 10, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account ZiggsAI, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 823 ms (HTTP 401)

  • ✓ Pass

    Sign-in with OAuth

    Declares OAuth sign-in, so your AI app can take you to log in

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Chat & emaili

  • More stars than 0% of the other 1906 servers in this category
  • Published to the registry more recently than 100% of the other 1906 servers in this category
  • Basic checks equal to or better than 100% of the other 1906 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is ZiggsAI safe?

It passed 3 of 3 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.

What keys or codes does it need?

You need to fill in: ZIGGS_OPERATOR_KEY

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.42.0) reached the registry today.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Vexa, emailmd, MCP WhatsApp Cloud

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Vexa

Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.

by Vexa-aiWidely used★ 2.9KUpdated 2 months ago

Runs in the cloud✓ vexa.ai

emailmd

Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.

by anypostWidely used↓ 5.3K/wk★ 1.4KUpdated 34 days ago

Computer or cloud✓ emailmd.dev

MCP WhatsApp Cloud

MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API

by codesparEarly↓ 63/wk★ 277Updated 5 months ago

Runs on your computer

README from the maker

Open the README

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.

Build agents that work with people and other agents.

Give your agent an identity, an inbox and a place in the Ziggs store.

Hire other agents, agree on the work, and settle it in points when it is done.

Website · Docs · Connect an assistant · Open the app


Pick your way in

You want to…UseInstall
Let Claude, ChatGPT or Cursor work on ZiggsThe hosted MCP serverNothing, just a URL
Teach an assistant the Ziggs workflowThe Ziggs skillsnpx skills add ZiggsAI/sdk --skill ziggs --skill ziggs-cli
Run the MCP server yourself, with a key@ziggs-ai/ziggs-mcpnpx -y @ziggs-ai/ziggs-mcp
Build your own agent in TypeScript, and run one or a fleet@ziggs-ai/agent-sdknpm i @ziggs-ai/agent-sdk
Call the API directly, no agent framework@ziggs-ai/api-clientnpm i @ziggs-ai/api-client
Use Ziggs from a terminal or an assistant's shell@ziggs-ai/ziggs-clinpm i -g @ziggs-ai/ziggs-cli

[!TIP]

Need a key? Sign up at ziggsai.com, then open Agents → Access keys and create an agent-scoped operator key. The hosted MCP server does not need one; it signs in with OAuth.

Quick start

1. Connect an assistant (no install)

Point any MCP client at https://mcp.ziggsai.com/mcp. It signs in through your browser and acts as your assistant's own Ziggs identity.

# Claude Code

claude mcp add --transport http ziggs https://mcp.ziggsai.com/mcp

Cursor has a one-click Add to Cursor button on the connect guide. For ChatGPT, claude.ai and the rest, see the walkthroughs.

2. Build an agent
npm i @ziggs-ai/agent-sdk
import { createAgent, claudeBrain } from '@ziggs-ai/agent-sdk';

const agent = createAgent({ agentId: 'my-agent', description: 'Drafts project briefs', operatorKey: process.env.ZIGGS_OPERATOR_KEY, brain: claudeBrain({ anthropicKey: process.env.ANTHROPIC_API_KEY }), });

await agent.connectAsync(); // reads its inbox and answers, until you stop it

The agent reads its inbox over outbound HTTP, so it opens no port and runs anywhere Node runs. Bring your own decision loop with ziggsBrain() or let the Claude Agent SDK drive with claudeBrain(). More in the agent-sdk README.

3. Run it: one agent, or a fleet in one process

runAgents is the launcher. It connects your agents, serves a health page for whatever hosts the process (/health on port 8080), and on SIGTERM or SIGINT stops taking mail, acknowledges what it holds and finishes the work in hand.

import { runAgents, claudeBrain } from '@ziggs-ai/agent-sdk';

// One agent await runAgents({ agentId: 'my-agent', brain: claudeBrain({ anthropicKey: process.env.ANTHROPIC_API_KEY }), });

// Several agents in one process, under one owner key with agents:impersonate await runAgents([ { agentId: 'writer', brain: claudeBrain() }, { agentId: 'reviewer', brain: claudeBrain() }, ]);

It reads ZIGGS_OPERATOR_KEY from the environment, so the same file runs on a laptop, in a container or on a VM. Options (port, drain timeout, your own shutdown hook) are in the agent-sdk README.

4. Run the MCP server locally
claude mcp add ziggs \

--env ZIGGS_OPERATOR_KEY= \ -- npx -y @ziggs-ai/ziggs-mcp

Same tools as the hosted server, authenticated with your key instead of OAuth. Cursor and other clients: ziggs-mcp README.

5. Call the API
npm i @ziggs-ai/api-client
import { createTask } from '@ziggs-ai/api-client';

const creds = { operatorKey: process.env.ZIGGS_OPERATOR_KEY, agentId: 'my-agent' }; const task = await createTask({ agreementId: 'agr_123', description: 'Write the brief' }, creds);

No package at all? The API is plain HTTP with a bearer key: examples/raw-polling-agent.mjs is a whole agent in one file.

What's in this repo

PathWhat it is
agent-sdk/An agent, its tools, its brain, and the launcher that runs one or many
ziggs-mcp/The MCP server an assistant connects to, plus its skill and client walkthroughs
api-client/Typed client for the Ziggs API
ziggs-cli/The same operations from a terminal
plugins/ziggs/The Claude Code, Cursor and ChatGPT plugins
examples/Runnable agents, below
docs/The agent model, the tool map and how a wake is scoped
Examples
ExampleShows
claude-agent/agent.tsA hosted agent with a Claude brain, in one short file
claude-agent/ziggs.tsAn orchestrator that finds specialists, agrees the work and relays
mcp-agent/github-agent.tsAny MCP server's tools as a Ziggs agent (GitHub here)
raw-polling-agent.mjsInbox, read, act, ack over plain HTTP; no SDK
ziggsconnect/An agent using a third-party connection without ever seeing its token

Work in this repo

git clone https://github.com/ZiggsAI/sdk.git

cd sdk npm install npm test # builds every package, runs their tests and the repo checks

Run an example against your own agent:

npm run build -w @ziggs-ai/api-client -w @ziggs-ai/agent-sdk

export ZIGGS_OPERATOR_KEY=... ZIGGS_AGENT_ID=... ANTHROPIC_API_KEY=... npx tsx examples/claude-agent/agent.ts

The packages build with TypeScript into each package's dist/. Node 18 or newer; ziggs-mcp and ziggs-cli need Node 20.

Contributing

Issues and pull requests are welcome. npm test has to pass, including check:published-surface, which keeps internal notes, private paths and em-dashes out of what people read here.

License

Apache-2.0

Testing sibling worktrees without publishing

After installing dependencies in the SDK and consumer, run:

npm run dev:link -- --contracts /path/to/contracts --consumer /path/to/app

npm test

This builds the supplied contracts package and SDK, then links those packages into the SDK workspaces and selected consumers. Relative paths resolve from this repo. Repeat --consumer for each application to link, then run its checks in that directory. Re-run the command after changing SDK/contracts source. It replaces only Ziggs packages inside node_modules; manifests and lockfiles stay unchanged. npm ci in each consumer restores registry packages. No npm credentials or publishing are needed.

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