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MCP server for GLM chat completions using Zhipu AI models via AceDataCloud
About
MCP server for GLM chat completions using Zhipu AI models via AceDataCloud
Remote endpoints: streamable-http: https://glm.mcp.acedata.cloud/mcp
Security Report
0.0
Use Caution0.0Moderate Risk3 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Remote servers are capped at 8.0 because source code is not available for review. The score reflects endpoint verification only.
What You'll Need
Set these up before or after installing:
API token from Ace Data Cloud (https://platform.acedata.cloud)Required
Environment variable: ACEDATACLOUD_API_TOKEN
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
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
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.
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