# GLM-4.6 MCP Server
### Enterprise Architecture Consultation Protocol
**Model Context Protocol bridge enabling Claude 4.5 Sonnet to leverage GLM-4.6's architectural intelligence for advanced system design, scalability patterns, and technical decision-making.**
[](https://opensource.org/licenses/MIT)
[](https://nodejs.org/)
[](https://www.typescriptlang.org/)
---
## 🏗️ System Overview
This MCP server establishes a bi-directional protocol bridge between **Claude 4.5 Sonnet** and **GLM-4.6**, enabling real-time architectural consultation during development workflows. The server exposes GLM-4.6's specialized capabilities through standardized MCP tools, facilitating seamless integration with Warp Terminal's agent infrastructure.
### Architectural Capabilities
- **Distributed Systems Design**: Microservices patterns, service mesh architectures, event-driven systems
- **Scalability Engineering**: Horizontal scaling strategies, load balancing, caching hierarchies
- **Security Architecture**: Threat modeling, zero-trust patterns, authentication/authorization frameworks
- **Code Analysis**: SOLID principles evaluation, design pattern recognition, refactoring recommendations
- **Technical Decision Review**: Trade-off analysis, risk assessment, alternative approach evaluation
- **System Architecture Design**: Component decomposition, data flow modeling, technology stack selection
---
## ⚡ Quick Start
### Prerequisites
```bash path=null start=null
node >= 18.0.0
npm >= 9.0.0
GLM-4.6 API Key from https://open.bigmodel.cn
```
### Installation
```bash path=null start=null
cd glm-mcp-server
npm install
npm run build
```
### Environment Configuration
Create `.env` file in project root:
```bash path=null start=null
GLM_API_KEY=your_api_key_here
```
**Security Notice**: Never commit `.env` to version control. Use secure secret management in production environments.
---
## 🔧 Warp Terminal Integration
### MCP Server Configuration
Add the following configuration to your Warp MCP servers configuration file:
**Location**: `~/.config/warp-terminal/mcp_servers.json` or Warp Settings → MCP Servers
```json path=null start=null
{
"mcpServers": {
"glm-architecture": {
"command": "node",
"args": ["/absolute/path/to/glm-mcp-server/build/index.js"],
"env": {
"GLM_API_KEY": "your_glm_api_key_here"
}
}
}
}
```
**⚠️ Configuration Notes**:
- Replace `/absolute/path/to/glm-mcp-server` with your actual installation path
- Replace `your_glm_api_key_here` with your actual GLM API key
- Restart Warp Terminal after configuration changes
### Verification
```bash path=null start=null
# Test server functionality
node build/index.js
# Expected output: "GLM-4.6 MCP Server running on stdio"
```
---
## 📡 MCP Tools Reference
### 1. `consult_architecture`
General architectural consultation for system design patterns, scalability strategies, and technical guidance.
**Input Schema**:
```typescript path=null start=null
{
query: string; // Architectural question requiring expert consultation
context?: string; // Optional system context, requirements, constraints
}
```
**Use Case**: High-level architectural decisions, pattern selection, scalability planning
---
### 2. `analyze_code_architecture`
Architectural analysis of source code including design patterns, SOLID principles, and improvement recommendations.
**Input Schema**:
```typescript path=null start=null
{
code: string; // Source code to analyze
language: string; // Programming language (typescript, python, go, java, etc.)
question: string; // Specific architectural question about the code
}
```
**Use Case**: Code review, refactoring planning, design pattern evaluation
---
### 3. `design_system_architecture`
Complete system architecture design from requirements including component breakdown, data flow, and deployment strategies.
**Input Schema**:
```typescript path=null start=null
{
requirements: string; // Detailed system requirements, constraints, objectives
}
```
**Use Case**: New system design, architecture documentation, technology selection
---
### 4. `review_technical_decision`
Technical decision review with impact assessment, trade-off analysis, and alternative recommendations.
**Input Schema**:
```typescript path=null start=null
{
decision: string; // Technical decision to review
context: string; // Current architecture, constraints, objectives
}
```
**Use Case**: Architecture review, technology evaluation, risk assessment
---
## 🔬 Usage Examples
### Example 1: Architectural Consultation
Within Warp Terminal, Claude can invoke:
```typescript path=null start=null
// Claude automatically calls via MCP
consult_architecture({
query: "What's the optimal caching strategy for a high-traffic API with 10k req/s?",
context: "Node.js microservices, PostgreSQL database, AWS infrastructure"
})
```
### Example 2: Code Architecture Analysis
```typescript path=null start=null
analyze_code_architecture({
code: `class UserService { ... }`,
language: "typescript",
question: "Does this service follow clean architecture principles?"
})
```
### Example 3: System Design
```typescript path=null start=null
design_system_architecture({
requirements: `
- Real-time messaging platform
- 1M concurrent users
- Sub-100ms latency
- 99.99% uptime SLA
- Global distribution
`
})
```
---
## 🏛️ Architecture
```
┌─────────────────────────────────────────────────────────────┐
│ Warp Terminal │
│ ┌──────────────────────────────────────────────────────┐ │
│ │ Claude 4.5 Sonnet Agent │ │
│ └────────────────────┬─────────────────────────────────┘ │
└───────────────────────┼─────────────────────────────────────┘
│ MCP Protocol (stdio)
▼
┌─────────────────────────────────────────────────────────────┐
│ GLM MCP Server (Node.js) │
│ ┌──────────────────────────────────────────────────────┐ │
│ │ MCP Protocol Handler │ Tool Registry │ │
│ ├──────────────────────────────────────────────────────┤ │
│ │ GLM-4.6 API Client Layer │ │
│ │ • Authentication • Error Handling • Retry Logic │ │
│ └──────────────────────────────────────────────────────┘ │
└────────────────────────┬────────────────────────────────────┘
│ HTTPS/REST
▼
┌─────────────────────────────────────────────────────────────┐
│ GLM-4.6 API (open.bigmodel.cn) │
│ Zhipu AI Model Inference │
└─────────────────────────────────────────────────────────────┘
```
---
## 🛠️ Development
### Build
```bash path=null start=null
npm run build # Compile TypeScript to JavaScript
npm run watch # Development mode with auto-rebuild
```
### Project Structure
```
glm-mcp-server/
├── src/
│ ├── index.ts # MCP server entry point
│ └── glm-client.ts # GLM-4.6 API client
├── build/ # Compiled JavaScript output
├── package.json # Dependencies and scripts
├── tsconfig.json # TypeScript configuration
└── .env # Environment variables (not in VCS)
```
---
## 🔐 Security Considerations
- **API Key Management**: Store GLM_API_KEY in environment variables, never in code
- **Transport Security**: All API communications use HTTPS/TLS
- **Input Validation**: All tool inputs are validated before processing
- **Error Handling**: Sensitive information is sanitized from error messages
- **Rate Limiting**: Implement client-side rate limiting for production deployments
---
## 📊 Performance Characteristics
| Metric | Specification |
|--------|--------------|
| **Latency** | 2-8s (model inference dependent) |
| **Throughput** | API key tier dependent |
| **Timeout** | 60s default (configurable) |
| **Max Token Output** | 4096 tokens |
| **Concurrent Requests** | Single instance: 1 (sequential processing) |
---
## 🐛 Troubleshooting
### Server Not Starting
```bash path=null start=null
# Verify Node.js version
node --version # Must be >= 18.0.0
# Check build output
npm run build
# Verify GLM_API_KEY is set
echo $GLM_API_KEY
```
### API Authentication Errors
- Verify API key validity at https://open.bigmodel.cn
- Check API key has sufficient quota
- Ensure no whitespace in `.env` file
### Warp Terminal Integration Issues
- Restart Warp Terminal after configuration changes
- Verify absolute path in MCP configuration
- Check Warp logs: Warp → Settings → Advanced → View Logs
---
## 📚 Resources
- **GLM-4.6 Documentation**: https://docs.z.ai/guides/llm/glm-4.6
- **Model Context Protocol**: https://modelcontextprotocol.io
- **Warp MCP Integration**: https://docs.warp.dev/features/agent-mode/model-context-protocol
---
## 📝 License
MIT License - Copyright (c) 2025 CyberLink Security
---
## 🤝 Support
**Enterprise Support**: info@cyberlinksec.com
**Issue Reporting**: Include server logs, Warp version, and reproduction steps
---
### Built with Enterprise Standards by CyberLink Security & Raptor Labs
**Empowering AI-Driven Architecture Decision Intelligence**