0xAkuti/ai-council-mcp
Multi-AI consensus MCP server that queries multiple AI models (OpenAI, Claude, Gemini, custom APIs) in parallel and synthesizes responses to reduce bias and improve accuracy. A Python implementation of the wisdom-of-crowds approach for AI decision making.
This tool helps you get more reliable and comprehensive answers from AI by tapping into the 'wisdom of crowds'. You provide a question or prompt, and it simultaneously queries multiple AI models like OpenAI, Claude, and Gemini, then synthesizes their individual responses into a single, comprehensive answer. It's ideal for anyone who relies on AI for research, analysis, or creative projects and needs to reduce bias and improve accuracy.
No commits in the last 6 months.
Use this if you need to make important decisions or conduct thorough research and want to ensure your AI-generated insights are well-rounded and less prone to individual model biases.
Not ideal if your tasks require extremely rapid, single-model responses where the overhead of parallel querying and synthesis would cause unnecessary delays.
Stars
21
Forks
3
Language
Python
License
MIT
Category
Last pushed
Jun 26, 2025
Commits (30d)
0
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