GLM-4.6 MCP Server
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# <span style="color: #1e3a8a">GLM-4.6 MCP Server</span>
### <span style="color: #10b981">Enterprise Architecture Consultation Protocol</span>
**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/)
---
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## <span style="color: #1e3a8a">🏗️ System Overview</span>
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.
### <span style="color: #10b981">Architectural Capabilities</span>
- **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
---
## <span style="color: #1e3a8a">⚡ Quick Start</span>
### <span style="color: #10b981">Prerequisites</span>
```bash path=null start=null
node >= 18.0.0
npm >= 9.0.0
GLM-4.6 API Key from https://open.bigmodel.cn
```
### <span style="color: #10b981">Installation</span>
```bash path=null start=null
cd glm-mcp-server
npm install
npm run build
```
### <span style="color: #10b981">Environment Configuration</span>
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.
---
## <span style="color: #1e3a8a">🔧 Warp Terminal Integration</span>
### <span style="color: #10b981">MCP Server Configuration</span>
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
### <span style="color: #10b981">Verification</span>
```bash path=null start=null
# Test server functionality
node build/index.js
# Expected output: "GLM-4.6 MCP Server running on stdio"
```
---
## <span style="color: #1e3a8a">📡 MCP Tools Reference</span>
### <span style="color: #10b981">1. `consult_architecture`</span>
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
---
### <span style="color: #10b981">2. `analyze_code_architecture`</span>
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
---
### <span style="color: #10b981">3. `design_system_architecture`</span>
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
---
### <span style="color: #10b981">4. `review_technical_decision`</span>
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
---
## <span style="color: #1e3a8a">🔬 Usage Examples</span>
### <span style="color: #10b981">Example 1: Architectural Consultation</span>
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"
})
```
### <span style="color: #10b981">Example 2: Code Architecture Analysis</span>
```typescript path=null start=null
analyze_code_architecture({
code: `class UserService { ... }`,
language: "typescript",
question: "Does this service follow clean architecture principles?"
})
```
### <span style="color: #10b981">Example 3: System Design</span>
```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
`
})
```
---
## <span style="color: #1e3a8a">🏛️ Architecture</span>
```
┌─────────────────────────────────────────────────────────────┐
│ 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 │
└─────────────────────────────────────────────────────────────┘
```
---
## <span style="color: #1e3a8a">🛠️ Development</span>
### <span style="color: #10b981">Build</span>
```bash path=null start=null
npm run build # Compile TypeScript to JavaScript
npm run watch # Development mode with auto-rebuild
```
### <span style="color: #10b981">Project Structure</span>
```
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)
```
---
## <span style="color: #1e3a8a">🔐 Security Considerations</span>
- **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
---
## <span style="color: #1e3a8a">📊 Performance Characteristics</span>
| 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) |
---
## <span style="color: #1e3a8a">🐛 Troubleshooting</span>
### <span style="color: #10b981">Server Not Starting</span>
```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
```
### <span style="color: #10b981">API Authentication Errors</span>
- Verify API key validity at https://open.bigmodel.cn
- Check API key has sufficient quota
- Ensure no whitespace in `.env` file
### <span style="color: #10b981">Warp Terminal Integration Issues</span>
- Restart Warp Terminal after configuration changes
- Verify absolute path in MCP configuration
- Check Warp logs: Warp → Settings → Advanced → View Logs
---
## <span style="color: #1e3a8a">📚 Resources</span>
- **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
---
## <span style="color: #1e3a8a">📝 License</span>
MIT License - Copyright (c) 2025 CyberLink Security
---
## <span style="color: #1e3a8a">🤝 Support</span>
**Enterprise Support**: info@cyberlinksec.com
**Issue Reporting**: Include server logs, Warp version, and reproduction steps
---
<div align="center">
### <span style="color: #10b981">Built with Enterprise Standards by CyberLink Security & Raptor Labs</span>
**Empowering AI-Driven Architecture Decision Intelligence**
</div>
TDQS
Scored across 5 tools
Tools are generally distinct: advanced_reasoning covers general complex reasoning, while others focus on architecture tasks. However, consult_architecture and analyze_code_architecture could be confused as both involve architecture guidance, though descriptions differentiate code-level vs. high-level.
Four tools follow a verb_noun pattern (analyze_code_architecture, consult_architecture, design_system_architecture, review_technical_decision). advanced_reasoning breaks this pattern as adjective_noun, causing minor inconsistency.
5 tools is well-scoped for a server focused on reasoning and architecture tasks. Each tool has a clear purpose and the count is neither too small nor too large.
The tool set covers major architecture tasks (analysis, consulting, design, review) and general reasoning. No obvious gaps given the domain, though additional tools for specific areas like code generation could be considered a minor gap.