"Accessing Jira Tickets and Updating Their State" matching MCP servers:

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

A small MCP server that stores and retrieves compact decision-relevant state (goals, constraints, facts, decisions) outside the chat context, enabling easy retrieval for Claude Code or Codex.

A stateless MCP server for AI film and video production that tracks project state, shot status, and updates, enabling consistent characters and continuity across generative video tools.

Enables AI assistants to create tickets and worklog entries in REI3 ticket management systems through the REI3 Tickets API. Supports secure authentication and provides natural language interface for ticket operations.

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.

Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development.

Lets an AI assistant read and write Jira Server/Data Center tickets via direct API access.

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.

A Simple Model Context Protocol server that enables AI assistants to interact with Jira, allowing operations like fetching tickets, adding comments, and updating ticket status.

A Model Context Protocol server for integrating JIRA with Claude, enabling AI assistants to create, search, update, and link JIRA tickets, as well as manage Zephyr test steps through natural language.

Enables interaction with Jira issues, projects, and comments via API Key. Supports operations like creating, updating, searching, transitioning issues, and managing projects.

Enables AI assistants to manage Jira Cloud instances, including creating and updating issues, managing sprints and projects, adding comments, tracking worklogs, and searching with presets.

Model Context Protocol server that allows AI assistants to interact with Jira, supporting operations like creating tickets and fetching project information directly from the cursor.

MCP to Connect JIRA by NodeJs

Enables natural language interaction with Jira Cloud tickets, including listing, searching, creating, and updating issues through a set of MCP tools.

A one-click Jira integration for AI coding tools like Claude Desktop, Cursor, and VS Code, enabling create, read, update, move, comment, and search operations on Jira tickets directly from the assistant.

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

An async MCP server for JIRA integration, enabling AI assistants to search, create, and manage JIRA issues via JQL and other operations.

Provides read-only access to Jira, enabling users to retrieve issue details, comment threads, linked-issue context, epic children, and JQL search results as compact Markdown.

Exposes Jira task management (list, create with two-step confirmation, start) to AI agents while keeping credentials hidden, and deliberately does not handle git operations.