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MCP Glm MCP Server

by acedatacloud Your server? Claim it
answering

MCP Glm is answering right now. Last checked 12 min ago. 973 installs a week from pypi. Last commit 1 Nov 2026.

MCP server for GLM chat completions using Zhipu AI models via AceDataCloud

Installs per day peak 736 · avg 151 · +134% w/w
a month agotoday
Uptime history 91 days of history · worst day 93%
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
—
Tools
hidden behind auth
1604 ms
Response time
average over 24h
973
Installs / week
npm and PyPI

MCP Glm missed one check this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

run in your terminal
claude mcp add mcp-glm --transport http https://glm.mcp.acedata.cloud/mcp
Settings → Connectors → Add custom connector, then paste this address
https://glm.mcp.acedata.cloud/mcp
~/.codex/config.toml
[mcp_servers.mcp-glm]
url = "https://glm.mcp.acedata.cloud/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-glm": {
      "url": "https://glm.mcp.acedata.cloud/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "mcp-glm": {
      "type": "http",
      "url": "https://glm.mcp.acedata.cloud/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

URLTransportStateLatencyChecked
https://glm.mcp.acedata.cloud/mcp streamable-http sign-in 1494 ms 12 min ago

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MCP Glm — questions

Answers built from our own checks of this server.

Why is there no tool list for MCP Glm?
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 MCP Glm working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 1604 ms. The bar chart above shows every period we have measured.
How do I connect MCP Glm?
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 MCP Glm?
No API key is involved. MCP Glm 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 MCP Glm?
It answers our handshake in 1604 ms on average, which is faster than 1% 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 MCP Glm?
The pypi package mcp-glm was installed 973 times in the last week. Week over week that is +134%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is MCP Glm open source?
The code is open source: it is published under the MIT licence, written in Python and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at glm.mcp.acedata.cloud, which runs on its operator's own terms.