"Using Jira tickets as input for task automation" matching MCP servers:

Enables creating Jira issues and listing issue types for a Jira Cloud project using Basic Auth credentials.

MCP server that lets AI assistants browse and buy ELC Conference 2026 tickets. Enables natural conversation about conference details, ticket availability, and purchasing.

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

A TypeScript-based server that enables Cursor editor to interact with Jira tickets for viewing, creating, commenting on, and updating tickets directly from the editor.

Exposes Jira Cloud issue, project, board, sprint, search, comment, worklog, link, version, attachment and property operations as MCP tools, backed directly by the Jira Cloud REST API v3 and Agile API 1.0. Authenticates with an email and API token, and lets destructive delete and project-management tools be enabled only on explicit opt-in.

Enables querying normalized real-world asset data through MCP tools, including listing assets, retrieving asset details, comparing yields against SOFR, and checking eligibility by jurisdiction.

Enables AI assistants to automate macOS desktop tasks including mouse control, keyboard input, screenshots, window management, and UI interaction.

Turns Claude-style skill folders into MCP tools, resources, and prompts for discovering and using skills.

An MCP server for Task Trellis that provides tools for AI coding agents to manage tasks, currently featuring a simple hello_world demonstration tool.

Enables Claude to interact with System Task projects, teams, and tasks, providing daily briefs, project reports, team load, and risk identification, as well as creating and updating tasks and demands.

Enables Claude to read, analyze, optimize, and execute IP-Symcon PHP scripts via JSON-RPC API, turning automation development into a dialogue.

Provides task and project management tools for AI agents, including todo list management, prioritization frameworks like Eisenhower Matrix and RICE scoring, time estimation using PERT, daily standup generation, and sprint burndown calculation.

Async MCP server for running long-running AI tasks with real-time progress monitoring, enabling users to start, monitor, and manage complex AI workflows across multiple models.

An MCP server for task orchestration.

MCP server for AI browser automation with tools for navigation, actions, data extraction, and scripting, supporting local and cloud execution.

MCP server providing access to JIRA data with relationship tracking, optimized payloads, and data cleaning for AI contexts. Supports both Jira Cloud and Server/Data Center.

Elevate your LLM task management with Task Orchestrator, an MCP server that empowers you to define, organize, and track goals and tasks with hierarchical precision. Integrate intelligent task management into your workflow.

An MCP server that enables Claude Code CLI to interact with Cloud Desktop, ChatGPT, and Gemini web interfaces through browser automation.

A Model Context Protocol server that integrates JIRA directly into Cursor IDE, allowing users to view assigned issues, get detailed information on specific tickets, and convert JIRA issues into local tasks without leaving their editor.

Enables AI assistants to access and manage Jira boards, sprints, epics, issues, JQL searches, transitions, comments, worklogs, projects, users, and any REST endpoint across Jira Cloud and Data Center.