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qualityA ticket tracking system that integrates with AI assistants through the Model Context Protocol (MCP), allowing LLMs to manage tickets, comments, and track project tasks.
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TypeScript
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Why this server?
This server provides a ticket tracking system that integrates with AI assistants through the Model Context Protocol (MCP), allowing LLMs to manage tickets, comments, and track project tasks.
Why this server?
Model Context Protocol server for integrating with Atlassian products (Confluence and Jira) that supports both Atlassian Cloud and Server/Data Center deployments, facilitating aspects of software project management
Why this server?
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.
Why this server?
AI-driven task management application that operates via MCP, enabling autonomous creation, progress tracking, and execution of tasks with support for subtasks, priorities, and progress tracking.
Why this server?
Provides a Model Context Protocol interface for accessing Linear's issue tracking system, enabling users to query and search issues with TypeScript type safety and robust error handling.
Why this server?
A Model Context Protocol server that provides a standardized interface for AI models to access, query, and modify content in Notion workspaces, helpful for managing project documentation
Why this server?
Facilitates contract and template management for eSignatures, enabling users to create, send, update, and manage contracts and templates with customizable options through a user-friendly interface, helpful in managing projects with contractual elements.
Why this server?
A server implementing Model Context Protocol that enables LLMs to interact with the ZenML platform, providing access to pipeline data, stack information, and the ability to trigger new pipeline runs.
Why this server?
Allows Cursor to interact with MySQL databases through the MCP protocol, enabling creation, querying, modification and deletion of database tables and records - can be helpful for project data management
Why this server?
Automates the creation of standardized documentation by extracting information from source files and applying templates, with integration capabilities for GitHub, Google Drive, and Perplexity AI.