Can I see if a build pipeline failed via the AI?

Yes! Use the `list_builds` tool and provide the Project ID. Your agent will retrieve the history of recent executions, including their final status (succeeded, failed, inProgress).

How do I list the Git repositories for a project?

Run the `list_repositories` query with your Project ID. The agent will return all Git repositories associated with that project in your Azure DevOps account.

Is it possible to see recent bugs or tasks assigned to a project?

Absolutely. Use the `list_work_items` tool. Your agent will retrieve a list of recent work items, including bugs, tasks, and stories, for the specified project.

INSTANT PLUG AND PLAY

Azure DevOps MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to List Builds, List Pipelines, List Project Teams, and more

Name: Azure DevOps
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 6 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Azure DevOps app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Azure DevOps, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

Fully ManagedVinkius Servers

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 Azure DevOps MCP Server

Connect your Azure DevOps account to any AI agent and simplify how you manage your software development lifecycle, track work items, and monitor pipelines through natural conversation.

The Vercel AI SDK gives every Azure DevOps tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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

Project Oversight — List all projects in your organization and retrieve detailed metadata and configurations.
Work Item Tracking — List and query recent tasks, bugs, and user stories to manage your team's backlog.
Git Repository Control — Query all Git repositories within a project to monitor code storage.
Pipeline Monitoring — List CI/CD pipelines and retrieve the history of recent build executions and statuses.
Team Coordination — List project teams to understand organizational structure and distribution.
Operational Status — Fetch real-time metadata for projects and work items directly via AI commands.

The Azure DevOps MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Azure DevOps tools available for Vercel AI SDK

When Vercel AI SDK connects to Azure DevOps through Vinkius, your AI agent gets direct access to every tool listed below — spanning ci-cd, pipeline-management, work-item-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

list_builds

List recent builds

list_pipelines

List CI/CD pipelines

list_project_teams

List teams in a project

list_projects

List Azure DevOps projects

list_repositories

List Git repositories

list_work_items

List recent work items

Connect Azure DevOps to Vercel AI SDK via MCP

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

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

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

Explore tools

The SDK discovers 6 tools from Azure DevOps and passes them to the LLM

Why Use Vercel AI SDK with the Azure DevOps MCP Server

Vercel AI SDK provides unique advantages when paired with Azure DevOps through the Model Context Protocol.

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

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Azure DevOps integration everywhere

Built-in streaming UI primitives let you display Azure DevOps tool results progressively in React, Svelte, or Vue components

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

Azure DevOps + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Azure DevOps MCP Server delivers measurable value.

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

API backends: create serverless endpoints that orchestrate Azure DevOps tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Azure DevOps capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Azure DevOps through natural language queries

Example Prompts for Azure DevOps in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Azure DevOps immediately.

"List all active projects in my Azure DevOps organization."

"Show me the last 5 work items for the 'Mobile App' project."

"What is the status of the latest build for project 'Internal Tools'?"

Troubleshooting Azure DevOps MCP Server with Vercel AI SDK

Common issues when connecting Azure DevOps to Vercel AI SDK through the Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Azure DevOps + Vercel AI SDK FAQ

Common questions about integrating Azure DevOps MCP Server with Vercel AI SDK.

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.

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.

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.