Discover 69 MCPs built for Jira.
Automates the generation of Jira/Xray test cases by integrating Jira knowledge with Google Gemini's AI capabilities.
Enhance Jira workflows from the terminal using fuzzy search and AI-powered command palette capabilities.
Enables interaction with the Jira API through the Model Context Protocol, allowing LLMs to manage and retrieve information from Jira.
Enables large language models to interact with and control Jira through the Jira Command Line Interface.
Connects AI assistants directly to Atlassian Jira projects, issues, and workflows for enhanced interaction and automation.
Enables AI models to interact with Jira for issue management, project tracking, and user information retrieval.
Exposes Jira data through the Model Context Protocol.
Facilitates direct SQL interaction with PostgreSQL, empowering AI agents and workflow automation for customer service processes.
Integrates with Jira Cloud to query boards, issues, user information, and more.
Manages multiple Atlassian Jira accounts from a single MCP server, routing tool calls by account alias.
Integrates AI assistants with Jira Cloud instances for comprehensive issue and project management.
Integrates AI models with Jira through a standardized Model Context Protocol interface.
Integrate Jira with AI assistants for comprehensive task management and secure OAuth authentication.
Connects Jira with Smithery and Claude Desktop, enabling seamless issue management, search, and project listing through a secure browser OAuth flow.
Exposes a comprehensive set of tools for managing Jira issues, projects, and workflows, enabling AI clients to safely automate tasks.
Enables AI assistants to interact with Jira using the Model Context Protocol (MCP).
Enables AI assistants to interact with Jira for tasks such as fetching tickets, adding comments, and updating statuses.
Integrates with Jira using basic authentication, offering 38 tools for comprehensive project and issue management.
Integrates AI models with task management and team collaboration platforms through an MCP server.
Enables AI assistants to query Jira issues and perform searches using natural language through a Model Context Protocol (MCP) server.
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