Multi-MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| AZURE_API_KEY | No | Azure OpenAI API key | |
| DEFAULT_MODEL | No | Default model to use | |
| AZURE_API_BASE | No | Azure OpenAI endpoint | |
| GEMINI_API_KEY | No | Google Gemini API key | |
| OPENAI_API_KEY | No | OpenAI API key | |
| AWS_REGION_NAME | No | AWS region for Bedrock | |
| ANTHROPIC_API_KEY | No | Anthropic API key | |
| AWS_ACCESS_KEY_ID | No | AWS access key ID for Bedrock | |
| DEFAULT_MODEL_LIST | No | Default model list | |
| OPENROUTER_API_KEY | No | OpenRouter API key | |
| AWS_SECRET_ACCESS_KEY | No | AWS secret access key for Bedrock |
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 | {
"listChanged": true
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| codereviewB | Systematic code review using external models. Covers quality, security, performance, and architecture. |
| chatC | General chat with AI assistant. Supports multi-turn conversations with project context and file inclusion. |
| compareA | Compare responses from multiple AI models. Runs the same content against all specified models in parallel. Supports multi-turn conversations with project context and file inclusion. |
| debateA | Multi-model debate: Step 1 (independent answers) + Step 2 (debate/critique). Each model provides independent answer, then reviews all responses and votes. |
| versionA | Get server version, configuration details, and list of available tools. |
| modelsA | List available AI models. Returns model names, aliases, provider, and configuration. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| codereview | Perform systematic code review |
| chat | Chat with AI assistant |
| compare | Compare responses from multiple AI models |
| debate | Multi-model debate with critique and voting |
| models | List available AI models |
| version | Get server version and info |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose: general chat, code review, model response comparison, multi-model debate, listing models, and server version. No overlap between tools.
All tool names are single, lowercase words, which is consistent in style. However, part of speech varies (e.g., 'compare' is a verb while 'models' is a noun), which is a minor inconsistency.
With 6 tools, the server covers its intended multi-model AI interaction scope concisely without being bloated or insufficient.
The tool surface covers the full range of expected operations: general interaction, code review, model comparison, debate, and informational queries. No obvious gaps in functionality.