"Using an MCP server with Atlassian JIRA to extract ticket descriptions" matching MCP servers:

An MCP server for interacting with Atlassian Jira, enabling issue management, attachments, and other operations via natural language.

Connects AI assistants like Claude to Jira projects, enabling natural language queries and operations for issue management, project tracking, comments, and workflows through the Jira REST API.

Enables teams to measure their actual ticket-writing style from GitLab, Jira, or GitHub and check new or draft tickets against that learned house profile, with optional model-backed drafting.

Enables AI assistants to interact with Atlassian Jira Cloud, allowing users to manage projects, issues, comments, and workflows through natural language commands.

Enables AI agents to manage a file-backed ticketing system directly within a local repository using a structured state machine and directory hierarchy. It enforces strict markdown schemas and provides specialized tools for claiming tasks, appending work logs, and validating ticket metadata.

MCP server for Averra Extract — lets AI agents like Claude, Cursor, and ChatGPT convert any webpage into clean, LLM-ready Markdown.

MCP server for Jira Server/Data Center that enables issue retrieval, JQL search, comment posting, and Tempo worklog queries via the atlassian-python-api.

Enables natural-language interaction with self-hosted Jira and Bitbucket, providing tools for ticket management, pull requests, code review, and git context.

Enables AI assistants to interact with Jira by executing commands through the Atlassian CLI. It supports searching issues with JQL, managing comments, updating statuses, and handling issue assignments through natural language.

A Model Context Protocol (MCP) server that provides tools for interacting with Jira. Enables Cursor and other MCP clients to fetch tickets, manage linked tickets, and update ticket status.

Integrates with Atlassian Cloud products (Confluence and Jira) to enable AI assistants to search, read, create, and manage pages, issues, comments, attachments, and export content through natural language interactions.

An MCP server that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.

An open-source Model Context Protocol (MCP) server for Atlassian Jira and Confluence Cloud, enabling LLMs to search, read, write, and manage issues and pages.

A Model Context Protocol server for Atlassian Jira and Confluence that supports both Cloud and On-Prem/Data Center deployments. It enables AI assistants to search, create, and manage issues and pages using secure authentication methods like PAT and OAuth.

A comprehensive MCP server for Jira, Confluence, and Bitbucket that supports both Cloud and Data Center deployments. It provides 136 tools for managing issues, searching documentation, and handling Git workflows like pull requests and pipelines.

An MCP server that integrates with Jira and Confluence to enable AI-powered issue management, content search, and document creation. It supports both Cloud and on-premise deployments, allowing users to automate workspace tasks through natural language.

An MCP server that enables AI assistants to interact with Atlassian Jira and Confluence across Cloud and Server/Data Center environments. It supports tasks like searching and summarizing documentation, managing Jira issues, and creating content through natural language.

Provides integration with Atlassian products through the Model Context Protocol, allowing users to interact with JIRA tickets and Confluence pages.

Self-hosted MCP server for Jira Cloud that mirrors the Atlassian Rovo MCP Server, enabling Jira issue management, JQL search, and workflow transitions via natural language.

A Model Context Protocol (MCP) server that integrates with Atlassian Jira to search issues, retrieve details, access comments, create new issues, and update issues.