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GLM-4.6 MCP Server

by bobvasic
OverviewInspectNewSchemaRelated ServersScore
TypeScript
Remote
MIT License
12

GLM-4.6 Language Models

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.

License: MIT Node.js TypeScript

🏗️ 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

node >= 18.0.0 npm >= 9.0.0 GLM-4.6 API Key from https://open.bigmodel.cn

Installation

cd glm-mcp-server npm install npm run build

Environment Configuration

Create .env file in project root:

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

{ "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

# 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:

{ 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:

{ 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:

{ 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:

{ 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:

// 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

analyze_code_architecture({ code: `class UserService { ... }`, language: "typescript", question: "Does this service follow clean architecture principles?" })

Example 3: System Design

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

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

# 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

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

📝 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

Empowering AI-Driven Architecture Decision Intelligence

Deploy Server
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security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

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