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.

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.

Jira Cloud MCP Server for Cursor 10 tools — connect in under 2 minutes

Name: Jira Cloud
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 10 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

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Open in ChatGPT Open in Claude Open in Perplexity

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Jira Cloud and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "jira-cloud": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Jira Cloud MCP Server

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.

Cursor's Agent mode turns Jira Cloud into an in-editor superpower. Ask Cursor to generate code using live data from Jira Cloud and it fetches, processes, and writes — all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

The Jira Cloud MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Jira Cloud to Cursor via MCP

Follow these steps to integrate the Jira Cloud MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Jira Cloud

Open Agent mode in chat and ask: "Using Jira Cloud, help me..." — 10 tools available

Why Use Cursor with the Jira Cloud MCP Server

Cursor AI Code Editor provides unique advantages when paired with Jira Cloud through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Jira Cloud + Cursor Use Cases

Practical scenarios where Cursor combined with the Jira Cloud MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Jira Cloud MCP Tools for Cursor (10)

These 10 tools become available when you connect Jira Cloud to Cursor via MCP:

get_issue

g., "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

get_myself

Useful for verifying identity and permissions. Gets current authenticated user info

get_project

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

list_dashboards

Useful for identifying high-level visual reporting tools available to the user. Lists all Jira dashboards

list_issue_types

g., "Bug", "Epic", "Story") available in the Jira instance. Useful for identifying valid types when searching or creating content. Lists all issue types

list_priorities

g., "High", "Medium", "Low") configured in Jira. Useful for understanding task urgency and filtering search results. Lists all issue priorities

list_projects

Returns project keys, names, and IDs. Use this to identify project keys before searching for specific issues. Lists all projects in Jira

list_statuses

g., "To Do", "In Progress", "Done") across the Jira instance. Useful for mapping the workflow steps of projects. Lists all issue statuses

list_users

Use this to identify assignees, reporters, or team members by their display names or account IDs. Lists all users in Jira

search_issues

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)

Example Prompts for Jira Cloud in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Jira Cloud immediately.

"List all active projects in Jira."

"Search for all issues assigned to 'user@example.com'."

"Get details for issue 'PROJ-123'."

Troubleshooting Jira Cloud MCP Server with Cursor

Common issues when connecting Jira Cloud to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Jira Cloud + Cursor FAQ

Common questions about integrating Jira Cloud MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design — tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.