MCP Server

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

Local serverstdio

What is the MCP MCP server?

MCP server for GLM chat completions using Zhipu AI models via AceDataCloud. That is what the mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

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

  • 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

Getting it running

Installation goes through your MCP client rather than a global install: point it at mcp-glm on PyPI and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.

The tools it exposes

The server publishes 3 tools. What each one is for:

  • 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

What it needs from you

Configuration is passed through the environment: ACEDATACLOUD_API_TOKEN. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How it compares

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. MCP's toolset — glm_chat_completions, glm_list_models, glm_get_usage_guide — is a fair guide to whether it matches your workflow. It is maintained by AceDataCloud; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Available tools

ToolWhat it does
glm_chat_completionsRun a GLM chat completion call
glm_list_modelsList available GLM models
glm_get_usage_guideGet the API usage guide

How to install the MCP MCP server

{
  "mcpServers": {
    "glm": {
      "command": "uvx",
      "args": ["mcp-glm"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

VariableDescriptionRequired
ACEDATACLOUD_API_TOKENCredential the server authenticates with.Yes

Example prompts to try

  • Use MCP to glm chat completions.
  • Use MCP to glm list models.
  • Use MCP to glm get usage guide.

Frequently asked questions

It connects MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 3 tools (glm_chat_completions, glm_list_models, glm_get_usage_guide) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP directly.