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

A cloud-hosted bridge that gives AI tools secure, real-time access to Jira, Confluence, Jira Service Management, Bitbucket, and Compass.

Enables management of a local-first, per-repo ticket board with git/PR pipeline using markdown files and MCP tools for ticket operations.

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

An MCP server for integrating with Atlassian products including Confluence, Jira, Bitbucket, and Xray for Jira, enabling AI-powered operations like searching, creating, and updating issues, pages, and test results.

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.

MCP server for Atlassian products (Confluence, Jira, Bitbucket, and Xray for Jira) supporting Cloud and Server/Data Center deployments.

Managed Code Plugin for Cursor IDE providing integration with Atlassian products (JIRA, Confluence, BitBucket), enabling developers to search for tasks, create new issues, view documentation, and manage code repositories directly from the IDE.

A cloud-hosted MCP server that gives AI tools secure, real-time access to Atlassian Cloud products such as Jira, Confluence, Bitbucket, and Loom, enabling search, summarization, content creation, and workflow automation through natural language.

A TypeScript MCP server that enables LLM agents to interact with Atlassian Data Center products (Jira, Confluence, Bitbucket) through typed tools, with tiered operation exposure and safety defaults.

A Jira Server/Data Center MCP server for issue management, workflow analysis, and field discovery, using JQL and REST API v2 with PAT authentication.

Provides MCP integration for Atlassian Data Center products including Jira, Confluence, and Bitbucket.

MCP servers for self-hosted Atlassian Data Center (Jira, Confluence, Bitbucket) enabling AI assistants to search, manage, and interact with issues, pages, and pull requests.

Enables AI assistants to interact with Bitbucket Cloud and self-hosted instances for pull request reviews, code search, repository operations, and managing PR comments and approvals.

Lightweight MCP server for Jira, Confluence, and Bitbucket — read, create, and update from your AI IDE.

A Model Context Protocol (MCP) server for GitLab and Jira integration. This server allows AI agents like gemini-cli to interact with your GitLab and Jira instances.

A Scrum-aware MCP server that provides semantic analysis of Jira issues, sprint health, and Agile workflow intelligence, returning structured summaries and recommendations instead of raw Jira payloads.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, branches, commits, and pull requests through generic API tools for reading, creating, commenting, searching, comparing, and managing resources. It supports natural-language version control workflows using scoped API tokens or app passwords.

Enables AI agents to manage self-hosted Atlassian Jira Server/Data Center issues and Bitbucket Server/Data Center repositories, pull requests, branches, commits, and files through MCP tools.

An MCP server for end-to-end Jira and GitHub integration, enabling AI agents in the IDE to automate workflows from issue tracking to pull request management.

Enables AI assistants to interact with Atlassian Bitbucket Cloud workspaces, repositories, and pull requests through MCP tools for listing, getting, commenting, searching, and managing version control workflows.