"Finding JIRA MCP to Create and Edit Jira Tickets" 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.

MCP to Connect JIRA by NodeJs

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.

Provides capabilities for searching Jira issues using JQL and retrieving detailed issue information.

MCP server for fetching Jira issue data via the Jira API.

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.

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.

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

Enables issue search, creation, updates, comments, status transitions, and project listing in Jira, purpose-built for security incident management and SOC workflows.

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 AI agents to interact with Jira Cloud and Confluence through natural language, performing JQL searches, issue management, and Confluence page creation.

MCP server for seamless Jira integration with GitHub Copilot CLI, allowing natural language queries to search, view, and manage Jira tickets.

Enables Codex CLI to query Jira Cloud projects and issues, preview reviewed stories locally, and create or update Jira issues only after explicit confirmation.

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.

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.

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.

Enables MCP clients to work with self-hosted Jira Server / Data Center 8.x through entity-based core tools, JSON-declared plugin tools, and bundled Zephyr Scale. It supports issue, comment, worklog, attachment, project, user, link, watcher, agile, and test management operations using Basic Auth or PAT with runtime field discovery.

This MCP server enables interaction with Atlassian products (Jira and Confluence), with additional tools for uploading attachments, embedding images, and commenting with images. It supports both Cloud and Server/Data Center deployments.

Enables AI assistants to interact with Jira Cloud and Server/Data Center deployments for issue management, project tracking, and workflow automation. Supports multiple authentication methods including API tokens, OAuth 2.0, and personal access tokens.

Enables managing Jira tickets via Cursor AI, allowing users to create, search, update, and comment on issues directly from the AI assistant.

Provides JIRA issue search, retrieval, and update functionalities via MCP.

Enables interacting with Jira for issue search, retrieval, project listing, and project details through natural language queries via the MCP protocol.

MCP server for Jira integration enabling multi-instance routing, ADF formatting, task caching, and comment templates.

A token-lean MCP server for Jira Cloud that enables natural language interaction with issues, comments, transitions, and more through a set of seven normalized tools, reducing token usage via field allowlists and ADF-to-Markdown conversion.

Enables read-only querying of Jira Server/Data Center projects, issues, comments, transitions, and issue types through MCP tools.

Supercharge your AI assistant with seamless Jira integration. Enables AI assistants like GitHub Copilot and Claude to interact with your Jira Cloud instance.

MCP server for Jira Cloud — gives AI agents full context and control over Jira issues, projects, sprints, and workflows.

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

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