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Glm MCP Server

Developer ToolsUse Caution4.2MCP RegistryLocalRemote
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Server data from the Official MCP Registry

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

4.2
Use Caution4.2High Risk

This MCP server implements a GLM chat API client with OAuth 2.0 authentication. The codebase is well-structured with proper error handling and type hints. However, there are moderate security concerns: (1) JWT tokens are decoded without verification for logging purposes, creating a potential information disclosure risk; (2) API tokens are logged in debug output; (3) the OAuth flow stores sensitive state in memory without expiration cleanup mechanisms. Permissions align with the server's purpose (network HTTP access, environment variables for credentials). Supply chain analysis found 7 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.

7 files analyzed · 15 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

logging

Check that this permission is expected for this type of plugin.

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 GitHub

From 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

ToolDescription
glm_chat_completionsRun a GLM chat completion call
glm_list_modelsList available GLM models
glm_get_usage_guideGet the API usage guide

Documentation

Documentation

License

MIT — see LICENSE.

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