Jira Cloud MCP Server
Manage projects, search issues, and track tasks via Jira Cloud API.
Ask AI about this MCP Server
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What is the Jira Cloud MCP Server?
The Jira Cloud MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Jira Cloud via 10 tools. Manage projects, search issues, and track tasks via Jira Cloud API. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Jira Cloud
Ask your AI agent "List all active projects in Jira." and get the answer without opening a single dashboard. With 10 tools connected to real Jira Cloud data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Jira Cloud MCP Server capabilities
10 toolsg., "PROJ-123"). Returns descriptions, comments, priority, status, and custom fields. Essential for providing a full context of a specific work item. Retrieves details for a specific issue
Useful for verifying identity and permissions. Gets current authenticated user info
g., "PROJ") or ID. Returns project lead, categories, and issue types. Use to understand the scope and configuration of a specific team's project. Retrieves details for a specific project
Useful for identifying high-level visual reporting tools available to the user. Lists all Jira dashboards
g., "Bug", "Epic", "Story") available in the Jira instance. Useful for identifying valid types when searching or creating content. Lists all issue types
g., "High", "Medium", "Low") configured in Jira. Useful for understanding task urgency and filtering search results. Lists all issue priorities
Returns project keys, names, and IDs. Use this to identify project keys before searching for specific issues. Lists all projects in Jira
g., "To Do", "In Progress", "Done") across the Jira instance. Useful for mapping the workflow steps of projects. Lists all issue statuses
Use this to identify assignees, reporters, or team members by their display names or account IDs. Lists all users in Jira
JQL allows powerful filtering (e.g., "project = MYPROJ AND status = Open"). Returns issue keys, summaries, and statuses. Use this as the main tool for finding tasks or bugs based on flexible criteria. Searches for issues using Jira Query Language (JQL)
What the Jira Cloud MCP Server unlocks
Empower your AI agents with Jira Cloud's powerful project management platform. This MCP server allows you to list and retrieve project details, search for issues using JQL, track priorities and statuses, and view dashboards directly through the Jira Cloud API. Ideal for automating software development workflows and team collaboration.
Frequently asked questions about the Jira Cloud MCP Server
How do I get Jira API credentials?
You need your Jira instance domain (e.g., acme.atlassian.net), your account email, and an API Token. You can generate an API Token in your Atlassian Account Settings under Security > API Token.
What is JQL?
JQL (Jira Query Language) is a powerful tool that allows you to search for issues in Jira using a structured query syntax.
Can I see private projects?
Your AI agent will only be able to see projects and issues that your Atlassian account has permission to access.
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Connect Jira Cloud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
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Data-aware AI agent framework for structured and unstructured sources.
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Give your AI agents the power of Jira Cloud MCP Server
Production-grade Jira Cloud MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.