Jira Cloud MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Jira Cloud through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"jira-cloud": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Jira Cloud Agent",
instructions:
"You help users interact with Jira Cloud " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Jira Cloud?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Jira Cloud tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
The Jira Cloud MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Jira Cloud MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Jira Cloud via MCP
Why Use Mastra AI with the Jira Cloud MCP Server
Mastra AI provides unique advantages when paired with Jira Cloud through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Jira Cloud without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Jira Cloud tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Jira Cloud + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Jira Cloud MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Jira Cloud, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Jira Cloud as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Jira Cloud on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Jira Cloud tools alongside other MCP servers
Jira Cloud MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Jira Cloud to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Jira Cloud to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpJira Cloud + Mastra AI FAQ
Common questions about integrating Jira Cloud MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.