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Why this server?
Enables natural language interaction with Jira for managing projects, issues, tasks, and workflows.
Why this server?
Provides integration with Jira's REST API, allowing AI assistants to manage Jira issues programmatically.
Why this server?
MCP server to provide Jira Tickets information to AI coding agents like Cursor
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?
A Model Context Protocol server that enables AI assistants to interact with Telegram, allowing them to search channels, list available channels, retrieve messages, and filter messages by regex patterns.
Why this server?
Provides an interface to access and manage JIRA data through the Model Context Protocol, offering features like relationship tracking, data cleaning, and contextual insights for AI applications.
Why this server?
A Python-based server allowing seamless integration with JIRA for managing and interacting with projects through custom APIs.
Why this server?
A Model Context Protocol server that enables AI assistants to interact with Jira through the Model Context Protocol, enabling tasks like JQL searches and retrieving issue details.
Why this server?
A Model Context Protocol server for interacting with Redmine using its REST API, enabling the management of tickets, projects, and user data through integration with LLMs.
Why this server?
A TypeScript-based MCP server that enables interaction with Jira, providing tools to execute JQL queries, manage tickets, list projects and statuses through natural language.