An MCP server that enables AI assistants to interact with OmniFocus on macOS via JXA, supporting task, project, folder, tag, perspective, and search operations.
An MCP server implementation that integrates with Backlog API, enabling project management operations including issues, projects, and wikis through natural language interactions.
MCP server for Rize -- automatic time tracking for professionals and teams. 27 tools for managing projects, clients, tasks, sessions, time entries, and productivity
analytics via the Rize GraphQL API. Works with Claude Desktop, Claude Code, Cursor, and any MCP-compatible client
Enables MCP clients to interact with Monday.com boards, allowing creation and management of items, sub-items, comments, and retrieval of board information.
Official MCP server for the dVersum business management API. Lets AI assistants like Claude Desktop, Cursor, and Windsurf interact with your dVersum workspace — managing clients, projects, tasks, invoices, time tracking, and more.
Connects Jira with Claude, enabling users to search issues, view issue details, update issues, add comments, and retrieve project information through natural language commands.
Integrates Rize.io's time tracking and productivity analytics with AI assistants via the Model Context Protocol, enabling natural language queries about productivity metrics, focus sessions, and project management.
Open-source TypeScript MCP server template with Streamable HTTP transport, Bearer auth, and prompt-injection containment, plus a client SDK for Onplana's hosted MCP endpoint.
A cloud-based MCP server that enables AI tools to manage workspaces, projects, tasks, time tracking, and custom fields in Astravue through natural language.
An MCP server for integrating with Jira Server instances, enabling natural language interactions to create, update, search, and manage issues and comments.
A TypeScript implementation of Model Context Protocol that provides integration tools for JIRA ticket creation and TODO management, allowing users to manage tasks through natural language interfaces.