Jira Cloud MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Jira Cloud through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
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.
{
"mcpServers": {
"jira-cloud": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Windsurf's Cascade agent chains multiple Jira Cloud tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
The Jira Cloud MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf 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 Windsurf via MCP
Follow these steps to integrate the Jira Cloud MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Jira Cloud
Open Cascade and ask: "Using Jira Cloud, help me...". 10 tools available
Why Use Windsurf with the Jira Cloud MCP Server
Windsurf provides unique advantages when paired with Jira Cloud through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Jira Cloud + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Jira Cloud MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Jira Cloud and generate models, types, or handlers based on real API responses
Live debugging: query Jira Cloud tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Jira Cloud and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Jira Cloud data with Cascade's code generation to scaffold entire features in minutes
Jira Cloud MCP Tools for Windsurf (10)
These 10 tools become available when you connect Jira Cloud to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Jira Cloud to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Jira Cloud + Windsurf FAQ
Common questions about integrating Jira Cloud MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.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.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Jira Cloud to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.