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  • A
    license
    A
    quality
    B
    maintenance
    It gives AI agents one tool to access the Omega-API judge, which evaluates conversational turns and returns a decision and gate action (release, clarify, suppress, or none) to guide the agent's response.
    1
    9 npm
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    Manage and monitor Hadoop clusters via Apache Ambari API, enabling service operations, configuration changes, status checks, and request tracking through a unified MCP interface for simplified administration. * Guide: https://call518.medium.com/llm-based-ambari-control-via-mcp-8668a2b5ffb9
    30
    1
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    Provides a deterministic failure-decision API for MCP clients, returning one of six actions (RETRY_NOW, WAIT, REPAIR_REQUEST, VERIFY_FIRST, ESCALATE, ABORT) based on failure context to guide safe next steps.
    -
  • A
    license
    Not graded
    quality
    C
    maintenance
    This server provides a Model Context Protocol interface for the FusionAuth API, enabling users to manage users, applications, and authentication configurations through natural language. It supports over 300 tools for various operations, including creating, searching, and retrieving data from a FusionAuth instance.
    3 npm
    1
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to access real-time market data, manage Moomoo trading accounts, and execute trades via the Moomoo platform.
    41 PyPI
    31
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    An MCP server that enables users to manage Google's Jules AI coding agent sessions directly from MCP-compatible clients. It supports creating sessions, approving execution plans, and interacting with session activity to streamline autonomous coding workflows.
    7 npm
    MIT
  • A
    license
    B
    quality
    C
    maintenance
    A server implementation that enables LLMs to programmatically manage tasks in Todo.txt files using the Model Context Protocol (MCP), supporting operations like adding, completing, deleting, listing, searching, and filtering tasks.
    11
    17 npm
    9
    ISC