# io.github.AceDataCloud/mcp-glm

> io.github.AceDataCloud/mcp-glm — acedatacloud-glmmcp. Use this tool when you need to integrate Zhipu GLM chat completions into your application, providing features like chat completion suggestions, model management, and usage guidance. It solves problems related to conversational AI and language modeling, offering a server-based solution for efficient chat completion processing. The tool accepts input requests and returns completion suggestions, making it ideal for use cases requiring intelligent chat interfaces.

Canonical page: https://skillsregistry.net/skills/acedatacloud-glmmcp  
JSON: https://api.skillsregistry.net/v1/skills/acedatacloud-glmmcp

## Description

MCP server for Zhipu GLM chat completions via AceDataCloud. Provides tools for chat completions, model listing, and usage guide.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xgbkemenc1)
- **Repository:** <https://github.com/AceDataCloud/GlmMCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "acedatacloud-glmmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/acedatacloud-glmmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/acedatacloud-glmmcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt