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    A deterministic MCP server that reimplements ai-git-fish workflows (aicommit, aibranch, aipr) with Leantime integration, enabling Claude Code and Codex to perform git operations and manage tickets without an internal LLM.
    9
  • A
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    A shared coordination layer for multiple AI coding assistants, exposing a persistent task queue, per-task message threads, and progress tracking via JSON files on disk.
    16
    MIT
  • F
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    A local-first MCP server that handles daily work tasks through your AI assistant: converts meeting notes into todos, manages todo lifecycle, tracks work hours, generates daily/weekly reports, organizes files via move-only operations, and diagnoses dev environments, all guarded by a human-maintained preview/apply safety model.
    25
  • F
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    B
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    Small MCP server for connecting to enterprise Jira using a personal access token. It enables issue operations, project listing, JQL searches, and attachment handling.
    17
  • A
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    quality
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    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
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    quality
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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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    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
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    An MCP server for intelligent project planning and task management featuring task tracking, bug reporting, and feature specification with SQLite persistence. It includes full-text search capabilities and automatic filesystem synchronization to keep project data organized and accessible.
    MIT
  • F
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    Bring BasicOps into your AI assistant. With MCP, your assistant can read your workspace, turn chat into structured tasks, and keep projects moving by updating owners, due dates, and status as decisions happen. BasicOps keeps humans and agents aligned in one place—tasks, messages, and projects—so work doesn’t get lost across tools. All actions respect your BasicOps access controls.
    1