Descubre 68 MCPs desarrollados para Jira.
Provides structured spec-driven development workflow tools for AI-assisted software development.
Interact with the Jira API to manage issues and sprints through MCP.
Enables interaction with Jira using natural language to manage projects and issues.
Enables Large Language Models to interact with JIRA through standardized tools and context.
Enables interaction with Jira instances, providing tools for querying, creating, editing, and deleting Jira tickets.
Enables access to Jira data with relationship tracking, optimized data payloads, and data cleaning for AI context windows.
Provides an MCP server to enable AI assistants to interact with Jira for issue, project, board, and user management.
Enables AI assistants to programmatically manage Jira issues through the Jira REST API.
Automate the generation and continuous update of professional, ATS-compliant CVs and resumes by syncing achievements from development platforms and certification bodies.
Integrate AI assistants with Jira Cloud instances to manage issues, perform searches, add comments, and handle workflow transitions.
Provides access to Jira issues within the Cursor AI environment.
Integrate Jira API functionalities for comprehensive issue management, project tracking, and workflow automation directly within your Model Context Protocol client.
Manages Jira tickets using natural language commands or direct forms through a Streamlit interface with MCP integration.
Enables the creation and management of Jira tickets directly from the Claude desktop application.
Integrates Jira with AI to semantically understand agile workflows, delivering intelligent insights and automation for enhanced project management.
Connects AI assistants to self-hosted Jira instances, enabling comprehensive issue management and information retrieval.
Enables seamless Jira Cloud integration for AI agents, automation systems, and custom applications via the Model Context Protocol.
Enables interaction with the Jira API through the Model Context Protocol, allowing LLMs to manage and retrieve information from Jira.
Connects AI assistants directly to Atlassian Jira projects, issues, and workflows for enhanced interaction and automation.
Enhance Jira workflows from the terminal using fuzzy search and AI-powered command palette capabilities.
Scroll for more results...