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  • F
    license
    C
    quality
    Not graded
    maintenance
    Enables autonomous learning from interactions through pattern recognition and machine learning techniques. Continuously improves performance by analyzing tool usage, providing predictive suggestions, and sharing knowledge across MCP servers.
    8
    2
  • A
    license
    A
    quality
    A
    maintenance
    Veto MCP — gives every major AI CLI (Claude Code, Codex, Gemini, Cursor, Windsurf) a council of 49 specialist agents + 93 tools. Deterministic-first, self-learning, no API keys.
    93
    298
    3
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    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
  • A
    license
    Not graded
    quality
    Not graded
    maintenance
    Portable MCP memory server giving AI agents persistent, verified, cross-session memory. 30 tools, SQLite + cloud sync, Chrome Extension for every AI chat platform. The only JavaScript MCP memory server. Includes behavioral learning engine, semantic search, knowledge scoping, session quality scoring, and web dashboard.
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables interaction with Cloudera Machine Learning to manage projects, files, and jobs through the Model Context Protocol. It supports tasks such as uploading files, scheduling jobs, and managing runtimes via natural language interfaces.
    2
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    A control panel and coordination system for AI agents, enabling scope control, real-time monitoring, and audit trails without requiring programming skills.
    57
    2
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Transforms unstructured natural language operational problems into rigorously formulated, validated, and solved Mixed-Integer Linear Programming (MILP) models via an autonomous multi-agent graph, bringing closed-loop Operations Research capabilities to LLM assistants and MCP clients.
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    nexus-agents makes your AI coding tools work together intelligently. It coordinates Claude, Codex, Gemini, and OpenCode — routing each task to the best model using data-driven algorithms, validating outputs through multi-model consensus voting, and continuously improving through outcome-driven learning. Connect it to any MCP-compatible editor (Claude Code, Cursor, VS Code) and it handles the rest.
    2,211
    18
    MIT