YuChenSSR/multi-ai-advisor

Overview

YuChenSSR/multi-ai-advisor is a TypeScript tool that implements a council of multiple AI models to generate consensus-based decisions. It sends a prompt to several models and aggregates their responses to produce a final recommendation.

Best for

Best for
Developers experimenting with multi-model consensus for decision-making

Use cases

• Aggregating opinions from multiple language models
• Reducing single-model bias in decision tasks
• Building consensus-based answer generators

How to use

Install

npx -y @smithery/cli install @YuChenSSR/multi-ai-advisor-mcp --client claude

Tools exposed

• list-available-models
• query-models

Tested with

Claude for Desktop

Example client config

{\n  "mcpServers": {\n    "multi-model-advisor": {\n      "command": "node",\n      "args": ["/absolute/path/to/multi-ai-advisor-mcp/build/index.js"]\n    }\n  }\n}

Notes

YuChenSSR/multi-ai-advisor is a TypeScript tool that implements a council of multiple AI models to generate consensus-based decisions. It sends a prompt to several models and aggregates their responses to produce a final recommendation.

78 stars on GitHub. Last updated 2025-04-02. Licensed MIT.

Use cases

• Aggregating opinions from multiple language models
• Reducing single-model bias in decision tasks
• Building consensus-based answer generators

Pros

• Open source and lightweight TypeScript implementation
• Can improve reliability through ensemble voting
• Simple to integrate into existing workflows

Cons

• Requires API keys for multiple model providers
• May increase latency due to multiple model calls
• Limited documentation and community support due to small user base

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.