"How to Create Projects in Jira" matching MCP servers:

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

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.

Enables an AI agent to manage Jira Stories in a self-hosted Jira instance via the Jira REST API v2, including CRUD operations, workflow transitions, and burndown data retrieval.

MCP server for Jira integration with stdio transport. Enables reading, writing, and managing Jira issues and projects directly from Claude Desktop. Supports issue creation, updates, comments, JQL search, and project management.

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

Enables natural-language interaction with self-hosted Jira through the Jira REST API, supporting PAT or browser-cookie/SSO authentication. It allows viewing and managing issues, projects, comments, assignments, and statuses, as well as JQL search and issue creation/deletion.

An MCP server for interacting with self-hosted Jira instances using Personal Access Token (PAT) authentication. It enables users to perform CRUD operations on issues, search with JQL, manage comments, and list projects through the Jira REST API.

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

Enables interaction with Jira and Confluence APIs to search, create, and manage issues, pages, comments, and attachments across both Atlassian platforms.

Enables MCP clients to read and create Jira issues against Jira Cloud or Data Center through a self-hosted FastMCP server with secure authentication and configurable fields.

A Model Context Protocol server that provides integration with Jira, allowing Large Language Models to interact with Jira projects, boards, sprints, and issues through natural language.

Enables AI agents to manage Jira Cloud projects with full CRUD operations, bulk actions, sprint and release management, and issue linking using natural language.

Enables AI agents to manage Jira projects and issues using natural language, including creating, updating, searching issues, managing sprints, and more via the Jira API.

Enables interaction with Jira through OAuth 2.0 to create and manage issues directly from MCP-compatible clients. It supports secure authentication and local token caching to facilitate automated task management within Jira projects.

Enables AI assistants to interact with Jira instances via the Model Context Protocol, providing 36 tools for reading and writing issues, projects, sprints, metrics, and more.

An MCP server for integrating with Jira Server instances, enabling natural language interactions to create, update, search, and manage issues and comments.

A Model Context Protocol server that enables AI applications to interact with Jira issues, projects, and workflows through a standardized interface.

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

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

Enables natural language interaction with JIRA through MCP, providing 35 tools for issues, comments, transitions, projects, boards, sprints, epics, links, worklogs, versions, attachments, users, and fields.