# Z.ai Integration MCP Server

> Use this tool when you need to integrate AI-powered code generation and reasoning tasks into your project, leveraging Z.ai's GLM-4 models through a seamless filesystem interface. It solves problems related to automated coding, code completion, and intelligent project management, accepting repository data as input and generating optimized code outputs. Ideal for use in development environments where AI-driven coding assistance is required.

Canonical page: https://skillsregistry.net/skills/williamlebrato-mcp  
JSON: https://api.skillsregistry.net/v1/skills/williamlebrato-mcp

## Description

Provides filesystem access and integration with Z.ai's GLM-4 models for code generation and reasoning tasks. Designed to work as a git submodule with automatic parent repository detection.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l2yxu4blvn)
- **Repository:** <https://github.com/WilliamLebrato/mcp>

## 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": "williamlebrato-mcp"
    }
  }
}
```

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