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Why this server?
This server is 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 (MCP) server for Atlassian products (Confluence and Jira). This integration supports both Confluence & Jira Cloud and Server/Data Center deployments.
Why this server?
A Model Context Protocol server that enables ChatGPT and other AI assistants to directly interact with JIRA issues, currently offering the ability to retrieve issue details.
Why this server?
Enables AI models to interact with Jira using a standardized protocol, offering full Jira REST API integration with features like optimal performance through connection pooling, error handling, and request monitoring.
Why this server?
Provides access to 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 integrates with Linear, enabling AI assistants to create, update, search, and comment on issues for project management and issue tracking.
Why this server?
A Model Context Protocol server that enables Large Language Models to seamlessly interact with Jira issues, currently offering the ability to retrieve issue details.
Why this server?
An MCP server that can run Kubernetes commands with a given kubeconfig path and provide interpretation of the commands.
Why this server?
Enables interaction with Redmine projects and issues via the Cline VS Code extension, supporting project management and issue creation through the Model Context Protocol.
Why this server?
This is a TypeScript-based MCP server that provides integration with ERPNext/Frappe API. It enables AI assistants to interact with ERPNext data and functionality through the Model Context Protocol.