mcp__gemini__consensus_advanced
Generate multi-model consensus by consulting multiple AI models, applying weighted voting, confidence scoring, and conflict resolution to ensure reliable and accurate answers for complex questions.
Instructions
Advanced multi-model consensus with weighted voting, confidence scoring, and conflict resolution
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| min_confidence | No | Minimum confidence threshold | |
| models | No | Models to consult | |
| question | Yes | Question for consensus | |
| weight_strategy | No | Weighting strategy | performance |
Input Schema (JSON Schema)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"min_confidence": {
"default": 0.7,
"description": "Minimum confidence threshold",
"type": "number"
},
"models": {
"default": [
"main",
"analysis",
"review"
],
"description": "Models to consult",
"items": {
"type": "string"
},
"type": "array"
},
"question": {
"description": "Question for consensus",
"type": "string"
},
"weight_strategy": {
"default": "performance",
"description": "Weighting strategy",
"type": "string"
}
},
"required": [
"question"
],
"type": "object"
}