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  • A
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    An MCP server that decides whether each step of an agent requires cheap intuition (System 1) or expensive deliberation (System 2) by learning from experience rather than hand-written rules.
    9
    1
    MIT
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    An AI personality collaboration tool based on Model Context Protocol (MCP) that enables users to summon and collaborate with multiple AI personas for intelligent analysis and problem-solving.
    3
    6 npm
    4
    MIT
  • A
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    maintenance
    Enables AI agents to manage Kanban boards, cards, sessions, and automations through a unified MCP interface with real-time updates, supporting delegation, agent sessions, and human-in-the-loop interactions.
    AGPL 3.0
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    maintenance
    Enables AI agents to manage tasks through a structured lifecycle (todo, in_progress, ai_testing, manual_testing, deployment, completed) with human approval gates, providing a single-user task management system with CLI, REST API, and live updates.
    MIT
  • A
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    B
    maintenance
    A Model Context Protocol server template that enables running and experimenting with stdio and HTTP transports, and simulating AI agent interactions with custom tools such as deploys, git checks, API references, and status queries.
    2
    -
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    maintenance
    ESSE (Existence Synchronization System Entity) — a meta-agent MCP server that fuses 2–5 AI agents into one unified mind. Supports 3 fusion modes: capability assimilation, synchronization link, and perfect convergence. Works with Claude Desktop, Cline, and Cursor.
    1
    MIT
  • A
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    F
    maintenance
    Enables AI agents to autonomously request services from other specialized agents and compensate them via x402 micropayments. Demonstrates a Machine-to-Machine economy using A2A protocol for agent communication, MCP for context management, and blockchain-based payments on Base network.
    43 npm
    2
    MIT
  • F
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    maintenance
    A modular quantitative trading assistant that integrates with XTQuant/QMT trading platform, enabling AI-assisted trading strategy generation, real-time trade execution, and performance backtesting.
    249
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  • F
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    quality
    C
    maintenance
    Enables interaction with S2 StreamStore to manage basins, access tokens, and data streams through a progressive tool disclosure workflow. It allows AI agents to efficiently navigate between account management, basin configuration, and stream-level operations like reading or writing records.
    1
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