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  • A
    license
    A
    quality
    C
    maintenance
    MCP server enabling AI assistants to connect to Kula recruiting API for managing jobs, candidates, applications, webhooks, and more.
    84
    435
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    A production-ready MCP server that connects AI assistants to the D-Tools System Integrator platform, enabling natural language management of AV projects, clients, catalogs, tasks, service orders, and purchase orders.
    25
    2
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    This server implementation allows AI assistants to interact with Asana's API, enabling users to manage tasks, projects, workspaces, and comments through natural language requests.
    41
    68
    2
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
    65
    Apache 2.0
  • F
    license
    Not graded
    quality
    F
    maintenance
    A Model Context Protocol server that enables ChatGPT and other AI assistants to directly interact with JIRA issues, currently offering the ability to retrieve issue details.
  • A
    license
    Not graded
    quality
    C
    maintenance
    An AI-friendly JIRA integration server using the Model Context Protocol, providing semantic tools for searching and interacting with JIRA issues without requiring JQL knowledge.
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to create and manage visual automation configurations, workflows, and UI states through the Qontinui API. It supports project management, workflow execution, and configuration handling for automated web interactions.
    AGPL 3.0
  • F
    license
    Not graded
    quality
    C
    maintenance
    An MCP server exposing internal business operations as tools — task management (create, list, update status) and RAG-style semantic search over an internal knowledge base (leave, expense, and onboarding policies) that any MCP-compatible AI agent can call directly for grounded, non-hallucinated answers.