Developer · Remote MCP server
MCP Glm
MCP server for GLM chat completions using Zhipu AI models via AceDataCloud.
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
| Transport | URL | Headers declared |
|---|---|---|
| Streamable HTTP | https://glm.mcp.acedata.cloud/mcp | None |
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPIruntime: uvx | mcp-glm | 2026.9.30.0 | stdio |
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)
| Server | Runs |
|---|---|
| MCP AcedatacloudManage your AceData Cloud account: services, pricing, APIs, docs, balance, usage, keys & orders. | Remote & Local · HTTP, stdio |
| MCP Face TransformAceDataCloud Face Transform MCP: keypoints, beautify, age/gender, swap, cartoon, liveness. | Remote & Local · HTTP, stdio |
| MCP FishMCP server exposing the AceDataCloud Fish Audio API (text-to-speech with voice conditioning) | Remote & Local · HTTP, stdio |
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