Developer · Remote MCP server

MCP Glm

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

Visit MCP Glm's website

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.AceDataCloud/mcp-glm
Version
2026.9.30.0
Status
Active
Category
developer
Transport
Streamable HTTP, stdio (local process)
Package
PyPI
Published
2026-09-30
Updated
2026-09-30
Publisher
AceDataCloud (GitHub) · 4 servers with pages here
Website
glm.mcp.acedata.cloud
Repository
github.com/AceDataCloud/GlmMCP
Source
Registry API entry

Remote endpoints

TransportURLHeaders declared
Streamable HTTPhttps://glm.mcp.acedata.cloud/mcpNone

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIruntime: uvxmcp-glm2026.9.30.0stdioACEDATACLOUD_API_TOKEN (required, secret)

How to connect MCP Glm

MCP Glm is a remote MCP server: there is nothing to install. Its endpoint is https://glm.mcp.acedata.cloud/mcp, served over Streamable HTTP. In an assistant that accepts remote MCP servers (often under a setting named connectors, integrations or tools), add a new server and give it this URL; in a client configured by file, add it as a remote (HTTP) server with the same URL.

No headers are declared in the registry entry. If the server needs you to sign in, a client that supports MCP authorization opens the service's own sign-in page when it first connects.

It can also run locally from a Python package published to PyPI: mcp-glm version 2026.9.30.0. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx mcp-glm. It reads the environment variable ACEDATACLOUD_API_TOKEN (required, secret); set it in the client's configuration for this server.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "mcp-glm": {
      "command": "uvx",
      "args": [
        "mcp-glm"
      ],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "<secret>"
      }
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

More from AceDataCloud (GitHub)

ServerRunsEndpoint or package
MCP AcedatacloudManage your AceData Cloud account: services, pricing, APIs, docs, balance, usage, keys & orders.Remote & Local · HTTP, stdiomcp.acedata.cloud
MCP Face TransformAceDataCloud Face Transform MCP: keypoints, beautify, age/gender, swap, cartoon, liveness.Remote & Local · HTTP, stdioface.mcp.acedata.cloud
MCP FishMCP server exposing the AceDataCloud Fish Audio API (text-to-speech with voice conditioning)Remote & Local · HTTP, stdiofish.mcp.acedata.cloud

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