genpark-multi-agent-debate-consensus-synthesizer-skill MCP Server

Name: Alpha-Park/genpark-multi-agent-debate-consensus-synthesizer-skill
Rating: 3.2 (1 reviews)
Author: Alpha-Park

Alpha-Park/genpark-multi-agent-debate-consensus-synthesizer-skill

Score: 55.6 Rank #9180 Agent Framework

[![AgentRank](https://agentrank-ai.com/api/v1/badge/Alpha-Park--genpark-multi-agent-debate-consensus-synthesizer-skill)](https://agentrank-ai.com/tool/Alpha-Park--genpark-multi-agent-debate-consensus-synthesizer-skill/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

Are you the maintainer of Alpha-Park/genpark-multi-agent-debate-consensus-synthesizer-skill? Claim this listing →

Multi-Agent Divergence-Convergence Debate Engine (MAD / Society of Mind). Coordinates multiple specialized personas to debate high-stakes decisions and aggregate into an explainable consensus with dissenting minority logs.

Add AgentRank to Claude Code Discover and compare tools like Alpha-Park/genpark-multi-agent-debate-consensus-synthesizer-skill — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

Alpha-Park/genpark-multi-agent-debate-consensus-synthesizer-skill is a Python tool licensed under MIT. Multi-Agent Divergence-Convergence Debate Engine (MAD / Society of Mind). Coordinates multiple specialized personas to debate high-stakes decisions and aggregate into an explainable consensus with dissenting minority logs.

Ranked #9180 out of 24846 indexed tools.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 7

7 stars → early stage

Freshness 25% 21d ago

Last commit 21d ago → recently updated

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Detailed

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/v1/badge/Alpha-Park--genpark-multi-agent-debate-consensus-synthesizer-skill)](https://agentrank-ai.com/tool/Alpha-Park--genpark-multi-agent-debate-consensus-synthesizer-skill/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/Alpha-Park--genpark-multi-agent-debate-consensus-synthesizer-skill/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/Alpha-Park--genpark-multi-agent-debate-consensus-synthesizer-skill" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="Alpha-Park/genpark-multi-agent-debate-consensus-synthesizer-skill"></script>

Details

Stars: 7
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: MIT
Last Commit: 21d ago

Matched Queries

topic:mcptopic:mcp-servertopic:model-context-protocol

See alternatives to Alpha-Park/genpark-multi-agent-debate-consensus-synthesizer-skill → Browse agent-framework category → Best Agent Framework MCP servers → Compare Alpha-Park/genpark-multi-agent-debate-consensus-synthesizer-skill → A2A vs MCP: Agent Protocol Comparison →What is MCP? Model Context Protocol Explained →

View on GitHub →