GLM-4.6 MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GLM_API_KEY | Yes | Your GLM API key from https://open.bigmodel.cn |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| consult_architectureA | Consult GLM-4.6 for expert software architecture guidance, system design patterns, scalability strategies, and technical decision-making. Use this for high-level architectural questions requiring deep technical expertise. |
| analyze_code_architectureA | Analyze code from an architectural perspective using GLM-4.6. Evaluates design patterns, SOLID principles, scalability, security implications, and provides improvement recommendations. |
| design_system_architectureB | Design a complete system architecture based on requirements using GLM-4.6. Provides component breakdown, data flow patterns, technology recommendations, and deployment strategies. |
| review_technical_decisionA | Review and evaluate a technical decision using GLM-4.6 architectural expertise. Assesses impact, trade-offs, alternatives, risks, and provides recommendations. |
| advanced_reasoningA | Consult GLM-4.6 for advanced mathematical, algorithmic, and scientific reasoning tasks. Delivers world-class innovative solutions with rigorous methodology, optimal algorithms, and enterprise-grade quality. Use for: complex algorithms, mathematical proofs, performance optimization, advanced data structures, computational problems, scientific analysis. Response optimized for Claude 4.5 Sonnet with XML structure. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/bobvasic/glm-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server