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

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

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.

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.

Model Context Protocol (MCP) server for Atlassian Cloud products (Confluence and Jira). This integration is designed specifically for Atlassian Cloud instances and does not support Atlassian Server or Data Center deployments.

Enables interaction with Atlassian Confluence and Jira through natural language, allowing users to search, create, update, and transition issues and pages.

Connects Claude to Jira and Confluence, enabling natural language research, design with Mermaid diagrams, documentation writing, and ticket creation without needing an Anthropic API key.

Enables AI agents to manage Haio legacy support tickets by reading ticket threads, replying as a support engineer, and updating status, labels, or categories. It also provides access to user profiles, wallet balances, and the user's purchased products.

An AI-powered support ticket management system that lets users retrieve, search, and update support tickets using natural language.

Enables an AI assistant to reliably read and chunk PDF/text documents, validate extracted JSON against a schema with full error paths, and save structured output—all confined to a single allowed directory.

Enables MCP clients to extract tables and text from digital PDF invoices, bank statements, and bills into CSV, JSON, or Excel, with automatic PII redaction by default.

MCP server that enables accessing Jira and Confluence using browser cookies captured via a Chrome extension, avoiding the need for API tokens or browser automation. It wraps the mcp-atlassian toolset and works with Atlassian Cloud and Server/Data Center behind SSO.

Provides deterministic, schema-driven structured data extraction from PDF documents via regex/heuristic matching, enabling repeatable, inspectable, and cost-free field extraction without LLM API calls.

MCP server for Atlassian products (Confluence and Jira) that enables AI assistants to search, create, update, and manage issues and pages through natural language.

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.

Enables structured document understanding of local PDFs via a dual-extract MCP server, combining MinerU text/layout and Qwen3-VL vision with fusion adjudication for field extraction, tables, formulas, and validation. Fully local and offline.

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.

Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). Supports both Cloud and Server/Data Center deployments.

Enables AI assistants to interact with Atlassian products (Confluence and Jira) through natural language, supporting both Cloud and Server/Data Center deployments. Allows searching, creating, and managing content across Jira issues and Confluence pages with flexible authentication options.

Model Context Protocol server that integrates with Atlassian Confluence and Jira, enabling AI assistants to search, create, and update content in these platforms through natural language interactions.

Integration server that connects AI assistants to Atlassian products (Confluence & Jira), enabling natural language interactions for searching content, managing issues, creating documents, and updating project information.