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A Model Context Protocol (MCP) server that enables AI tools like chatbots to interact with and control Jenkins, allowing users to trigger jobs, check build statuses, and perform other Jenkins operations through natural language.

Fetches structured Jira issue context from a URL, enabling coding agents to quickly understand issue intent and implementation details.

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 control and interaction with Jira through the Jira Command Line interface, allowing users to manage Jira tasks and operations through natural language commands.

A production-ready server that automatically exposes your entire Jira instance through the Model Context Protocol, allowing seamless interaction with Jira's API features including issue management, project administration, and user management.

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

Integrates with Jira Cloud to enable comprehensive issue management, project tracking, and team collaboration through natural language, including creating/updating tickets, searching with JQL, managing workflows, and adding comments.

Enables users to fetch and search Jira tickets, comments, and attachments directly within Claude Code. It features JQL support and automatically exports linked Figma designs to provide comprehensive project context.

Provides AI models with full access to Jira Cloud functionality, enabling issue management, project tracking, sprint planning, and agile board operations through the Jira REST API v3 and Agile API 1.0.

Enables AI systems to interact with JIRA through natural language, allowing users to retrieve issue details, create new tickets, search using JQL, and access project information.

Enables comprehensive interaction with self-hosted Jira instances using Personal Access Token authentication, supporting issue management, JQL searches, comments, transitions, projects, and custom fields through 27 specialized tools.

A Model Context Protocol server that provides access to JIRA issue data stored in CSV files, enabling AI assistants to query, filter, and analyze JIRA issues through standardized tools.

Enables MCP clients to interact with Jira for managing tasks, including fetching assigned issues and creating new tasks. It supports retrieving detailed task information and filtering by project or status using the Jira API.

Enables enterprise-level integration with Jira's REST API for AI assistants to perform advanced project management, issue tracking, analytics, and strategic planning tasks. Supports multiple Jira instances with thread-safe concurrent access, workflow management, and comprehensive project structure organization.

An MCP server that enables interaction with the Jira API to retrieve time-tracking information. It allows users to fetch their logged work hours and specific task details for the current week.

A simple MCP server that provides access to Jira issues from Cursor AI, allowing users to reference and query Jira tickets directly in the chat panel.

Enables seamless Jira integration through browser-based OAuth authentication, providing tools for issue management, JQL search, and project access without manual API token configuration.

A collection of tools for interacting with Jira via the Model Context Protocol, providing core functionalities like fetching and analyzing issues, plus a guided Issue Creation Wizard.

A Model Context Protocol (MCP) server for interacting with Atlassian Jira. Connect AI assistants like Claude, Cursor AI, and others directly to your Jira projects, issues, and workflows.

Enables comprehensive test management with JIRA's Zephyr system, allowing users to create and manage test plans, execute test cycles, track progress, and generate reports through natural language.