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  • A
    license
    A
    quality
    C
    maintenance
    Connects AI assistants to Jira Service Management instances, providing 40 tools for managing service desks, requests, comments, customers, organizations, queues, SLA, approvals, and attachments.
    40
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables persistent, auditable business operations state by storing knowledge, evidence, decisions, tasks, execution receipts, and review results in a local SQLite database, so different sessions can continue the same project.
    20
    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.
    16 npm
    Apache 2.0
  • A
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    Not graded
    quality
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    maintenance
    Free service management tools — playbooks, benchmarks, and instant service health analysis. DigitalCore MCP gives you free access to service management expertise directly in your AI assistant. Run a Service Reality Check to score your service health in 60 seconds. Access strategy playbooks for ser
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    MCP server for Jama Connect that brings requirements, traceability, tests, and baselines into MCP clients like Claude, Cursor, VS Code, or GitHub Copilot, with access control, audit trail, and rate limiting. It provides 53 tools across 8 individually enableable toolsets, with an admin dashboard for managing access and usage.
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables a weekly review of Todoist tasks by listing overdue tasks with key signals (days overdue, priority, times postponed) and letting Claude propose fixes per task, which you approve or veto in chat before any changes are applied.
    3
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    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
    license
    A
    quality
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    maintenance
    Wraps UOF (U-Office Force) SOAP/ASMX WebServices as MCP tools, enabling AI agents to perform enterprise workflow tasks like form query, application, approval, and case closure via Model Context Protocol.
    13
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    MCP server that acts as a shim between Claude and the PostGrowth API, exposing seven tools to list clients, manage posts, and handle ClickUp tasks and media uploads. It translates MCP calls into authenticated HTTP requests, keeping business rules and credentials on the server side.
    7
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables AI agents to read and manage Copper CRM data, including searching people, companies, and opportunities, listing pipelines, and logging activities or creating tasks.
    7
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    A read-only Model Context Protocol server that connects MCP clients such as Claude Desktop, Claude Code, Cursor or VS Code to KanbanFlow, exposing the configured boards and the tasks assigned to a chosen person across all of them. It resolves board, column, swimlane, color, label and people ids to readable names, reports which boards or columns could not be fully loaded, and never modifies any board.
    6
    222 npm
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables coding agents to read Jira Cloud issues, search via JQL, and retrieve comments, attachments, and change history through a lightweight, context-efficient MCP toolset.
    9
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    A Model Context Protocol server that provides Monte Carlo forecasting tools for project duration, cost, completion dates, and sensitivity analysis using three-point estimates and historical throughput.
    5
    MIT