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Jira Software Cloud MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 31 tools to Create Board, Create Sprint, Get Agile Issue, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Jira Software Cloud through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Jira Software Cloud MCP Server for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 31 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Jira Software Cloud, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Jira Software Cloud
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60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Software Cloud MCP Server

Connect your Jira Software Cloud instance to any AI agent to streamline your Agile project management. This server provides deep integration with Jira's Software-specific features like Boards, Sprints, and Epics.

The Vercel AI SDK gives every Jira Software Cloud tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 31 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Board Management — List all Scrum and Kanban boards, fetch their configurations, and view associated Sprints or Epics.
  • Sprint Control — Create new sprints, retrieve sprint details, and update sprint states (start or complete) to keep your team moving.
  • Backlog & Issues — Query board backlogs, fetch issues within specific sprints or epics, and manage issue rankings.
  • Estimation Tracking — Retrieve and set story point estimations for agile issues to maintain velocity visibility.
  • DevOps Integration — Submit and query development information including builds, deployments, and feature flags.

The Jira Software Cloud MCP Server exposes 31 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 31 Jira Software Cloud tools available for Vercel AI SDK

When Vercel AI SDK connects to Jira Software Cloud through Vinkius, your AI agent gets direct access to every tool listed below — spanning agile, scrum, kanban, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create board on Jira Software Cloud

Requires name, type (scrum or kanban), and filterId. Create a new board

create

Create sprint on Jira Software Cloud

Create a new sprint

get

Get agile issue on Jira Software Cloud

Get issue with Agile fields

get

Get board backlog on Jira Software Cloud

Get issues for backlog

get

Get board configuration on Jira Software Cloud

Get board configuration

get

Get board epics on Jira Software Cloud

Get all epics for board

get

Get board sprints on Jira Software Cloud

Get all sprints for board

get

Get build on Jira Software Cloud

Get build data

get

Get deployment gating status on Jira Software Cloud

Get deployment gating status

get

Get epic on Jira Software Cloud

Get epic details

get

Get epic issues on Jira Software Cloud

Get issues for epic

get

Get issue estimation on Jira Software Cloud

Get issue estimation

get

Get repository dev info on Jira Software Cloud

Get repository development information

get

Get sprint on Jira Software Cloud

Get sprint details

get

Get sprint issues on Jira Software Cloud

Get issues for sprint

link

Link security workspaces on Jira Software Cloud

Link security workspaces

list

List boards on Jira Software Cloud

Get all boards in Jira Software

move

Move issues to backlog on Jira Software Cloud

Move issues to backlog

move

Move issues to epic on Jira Software Cloud

Move issues to epic

move

Move issues to sprint on Jira Software Cloud

Move issues to sprint

rank

Rank epics on Jira Software Cloud

Rank epics

rank

Rank issues on Jira Software Cloud

Rank issues

set

Set issue estimation on Jira Software Cloud

Set issue estimation

store

Store dev info on Jira Software Cloud

Store development information

submit

Submit builds on Jira Software Cloud

Submit build data

submit

Submit deployments on Jira Software Cloud

Submit deployment data

submit

Submit feature flags on Jira Software Cloud

Submit feature flag data

submit

Submit incidents on Jira Software Cloud

Submit incidents or reviews

submit

Submit remote links on Jira Software Cloud

Submit remote link data

submit

Submit vulnerabilities on Jira Software Cloud

Submit vulnerabilities

update

Update sprint on Jira Software Cloud

Can be used to start or complete a sprint by changing state to active or closed. Update a sprint

Connect Jira Software Cloud to Vercel AI SDK via MCP

Follow these steps to wire Jira Software Cloud into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 31 tools from Jira Software Cloud and passes them to the LLM

Why Use Vercel AI SDK with the Jira Software Cloud MCP Server

Vercel AI SDK provides unique advantages when paired with Jira Software Cloud through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Jira Software Cloud integration everywhere

03

Built-in streaming UI primitives let you display Jira Software Cloud tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Jira Software Cloud + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Jira Software Cloud MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Jira Software Cloud in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Jira Software Cloud tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Jira Software Cloud capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Jira Software Cloud through natural language queries

Example Prompts for Jira Software Cloud in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Jira Software Cloud immediately.

01

"List all available Jira boards."

02

"Show me the issues in the backlog for board 1."

03

"What is the estimation for issue 10123?"

Troubleshooting Jira Software Cloud MCP Server with Vercel AI SDK

Common issues when connecting Jira Software Cloud to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Jira Software Cloud + Vercel AI SDK FAQ

Common questions about integrating Jira Software Cloud MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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