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 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| 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 | |
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.