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A multi-Jenkins server management and automation tool that enables intelligent scenario mapping, multi-server management, and complete CI/CD lifecycle operations through natural language interactions.

An MCP server that enables users to generate AI images using the Jimeng AI API with support for automatic status polling and local file saving. It allows for detailed parameter configuration including image dimensions, model selection, and prompt optimization.

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

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

Enables LLMs to interact with Atlassian Jira Data Center through natural language queries for semantic search and automated workflow execution. It provides secure tools to discover, inspect, and execute Jira API operations using production-ready authentication methods.

Enables end-to-end automation of developer workflows from Jira issue tracking to GitHub pull requests through natural language, allowing developers to search issues, create branches, commit changes, and manage PRs directly from their IDE.

Integrates Jira and GitLab to enable AI agents to seamlessly manage issues, create branches, and automate SRE workflows from issue detection to fix deployment. Features AI-powered analysis for intelligent code generation and comprehensive automation across both platforms.

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.

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 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.

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.

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.

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.

Enables AI assistants to perform sophisticated static code analysis using Joern's Code Property Graph technology. Supports multi-language analysis, security vulnerability detection, and code quality assessment through isolated Docker environments.

Joomla MCP Server

Enables AI assistants to interact with Joplin notes through full-text search, reading, creating, updating, and deleting notes, as well as importing markdown files directly into Joplin notebooks.