Dual Model MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENROUTER_API_KEY | Yes | Your OpenRouter API key |
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
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| query_dual_modelsA | Schickt eine Prompt parallel an mehrere Modelle via OpenRouter (Standard: anthropic/claude-opus-4.8, openai/gpt-5.5). Liefert alle Antworten nebeneinander, optional mit Synthese (Konvergenzen, Widersprüche, Unikate). Standard-System-Prompt: strukturierte Antwort in 6-8 Absätzen. |
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 1 tool
With only one tool, there is no possibility of confusion or ambiguity between tools.
The single tool name 'query_dual_models' is descriptive and follows a clear verb_noun pattern; consistency is trivially maintained.
The server has a narrow, focused purpose of querying dual models, and one tool fully covers that functionality without excess or deficiency.
The tool provides complete coverage for the server's domain: sending queries to multiple models and optionally synthesizing results. No obvious gaps exist.