mcp__gemini__consensus_advanced - Gemini MCP

mcpgeminiconsensus_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"
}

Gemini MCP

mcpgeminiconsensus_advanced

Instructions

Input Schema

Input Schema (JSON Schema)

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