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Health: Not checked yetWe have not completed a health check for this listing yet.Last checked 8/10/2026, 11:45:00 PM

Mcp Glm

Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Install Config Generator

Choose your client
claude_desktop_config.json
{
  "mcpServers": {
    "mcp-glm": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-glm"
      ]
    }
  }
}

πŸ’‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

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

Terminal
pip install mcp-glm

Configuration

Set your AceDataCloud API token:

server.ts
export ACEDATACLOUD_API_TOKEN=your_token_here

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

Usage

stdio mode (default)

bash
mcp-glm

HTTP mode

bash
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

License

MIT β€” see LICENSE.

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Frequently Asked Questions about Mcp Glm

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-glm": { "command": "npx", "args": ["-y", "mcp-glm"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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