"DTS" matching MCP servers:

A remote MCP server (Node.js/TypeScript) deployed on Azure Container Apps that provides todo list management tools with JWT authentication and role-based access control.

Enables AI agents to send emails and manage tasks in Microsoft To Do with scoped, low-risk access to Microsoft Graph.

Deprecated, please use Dart connector instead. https://glama.ai/mcp/connectors/com.dartai/dart

Enables an AI assistant to administer a Jira Cloud site with 78 purpose-built tools for behind-the-scenes admin work like custom fields, permission schemes, workflows, screens, issue-type schemes, groups, project roles, saved filters, and bulk operations.

A Model Context Protocol server that enables AI assistants to interact with Sentry for error tracking and monitoring, allowing retrieval and analysis of error data, project management, and performance monitoring through the Sentry API.

A basic MCP server for managing a todo list stored in a local JSON file, enabling task creation, completion, listing, and daily summary generation.

Enables interaction with Trello boards, lists, and cards through Model Context Protocol (MCP) tools, leveraging TypeScript for type safety and asynchronous operations.

Enables a personal task board to be shared across a web view, MCP tools, and an MCP App UI, with task, project, dependency, comment, archive, search, filter, and drag/drop management. It persists data in a Sites-hosted D1 database with owner scoping, optimistic concurrency, and recoverable archives.

MCP server for managing customer feature requests with role-based approvals, elicitation for high-impact changes, and support for notifications, sampling, and progress tracking. Enables employees to review, prioritize, and approve requests without direct database access.

Enables interaction with the PeopleBox Applicant Tracking System (ATS) to manage candidates, positions, and recruitment pipelines. It provides tools for searching candidate profiles, adding notes, and tracking application timelines through natural language interfaces.

Automates Close-to-Shore methodology for Godot game development by creating tasks in Shrimp MCP from hop plans and generating interactive visualizations of signal architectures, dependencies, and project metrics.