ZiggsAI MCP Server

by ziggsai Your server? Claim it

answering

ZiggsAI is answering right now. Last checked moments ago. 4 342 installs a week from npm.

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

The linked repository no longer exists on GitHub — it was deleted or made private.

Installs per day peak 1 647 · avg 393 · +26% w/w

a month agotoday

Uptime history 91 days of history · worst day 95%

91 days agonow

100.0%

Uptime 24h

92 of 92 checks

—

Tools

hidden behind auth

963 ms

Response time

average over 24h

4 342

Installs / week

npm and PyPI

What the code does

We have not read this server's code yet

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Package points at a different repository ziggsai/sdk

пакет @ziggs-ai/ziggs-mcp ссылается на ziggsai/agentplus

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

Settings → Connectors → Add custom connector, then paste this address

https://mcp.ziggsai.com/mcp

~/.codex/config.toml

[mcp_servers.ziggs]
url = "https://mcp.ziggsai.com/mcp"

.cursor/mcp.json

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

.vscode/mcp.json

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

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URL	Transport	State	Latency	Checked
https://mcp.ziggsai.com/mcp	streamable-http	sign-in	989 ms	0 min ago

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ZiggsAI — questions

Answers built from our own checks of this server.

Why is there no tool list for ZiggsAI?

The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.

Is ZiggsAI working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 963 ms. The bar chart above shows every period we have measured.

Is ZiggsAI still maintained?

The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.

How do I connect ZiggsAI?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.

How do you sign in to ZiggsAI?

No API key is involved. ZiggsAI answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.

How fast is ZiggsAI?

It answers our handshake in 963 ms on average, which is faster than 5% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.

How many people use ZiggsAI?

The npm package @ziggs-ai/ziggs-mcp was installed 4 342 times in the last week. Week over week that is +26%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.