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"author:spranab" matching MCP servers:

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    Enables multi-round brainstorming debates between multiple AI models like GPT, DeepSeek, and Ollama to produce synthesized final outputs. Users can orchestrate parallel model interactions where AI agents critique and refine each other's ideas to reach a consolidated conclusion.
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    MIT
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    A Jira-like project tracker MCP server for AI agents. SQLite-backed, per-project scoped, with full hierarchy and activity logging — so LLMs never lose track. No more scattered markdown files. saga-mcp gives your AI assistant a structured database to track projects, epics, tasks, subtasks, notes, and decisions across sessions.
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    MIT