How do I use io.github.AceDataCloud/mcp-glm?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@io.github.AceDataCloud/mcp-glm write a short poem about AI" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

io.github.AceDataCloud/mcp-glm

Official

by AceDataCloud

Overview Schema Related Servers Score Discussions

Python

Remote

MCP GLM Server

A Model Context Protocol (MCP) server for Zhipu GLM chat completions via the AceDataCloud platform.

Features

GLM chat completions: Call Zhipu GLM models through a uniform MCP tool
Model discovery: List the GLM models exposed by AceDataCloud
Usage guide: Inline tool returning the API usage guide

Related MCP server: z_ai_image_gen_mcp

Installation

pip install mcp-glm

Configuration

Set your AceDataCloud API token:

export ACEDATACLOUD_API_TOKEN=your_token_here

Get your token from https://platform.acedata.cloud.

Usage

stdio mode (default)

mcp-glm

HTTP mode

mcp-glm --transport http --port 8000

Available Tools

Tool	Description
`glm_chat_completions`	Run a GLM chat completion call
`glm_list_models`	List available GLM models
`glm_get_usage_guide`	Get the API usage guide

License

MIT — see LICENSE.

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

5dRelease cycle

6Releases (12mo)

Commit activity

Resources

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