Dagger (Programmable CI) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Execute Graphql Query, Query Cache Volume, Query Container, and more

Name: Dagger (Programmable CI)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Dagger (Programmable CI) 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

Open in ChatGPT Open in Claude Open in Perplexity

The Dagger (Programmable CI) MCP Server for Vercel AI SDK is a standout in the Loved By Devs category — giving your AI agent 10 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

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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 Dagger (Programmable CI), 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 Dagger (Programmable CI) MCP Server

Connect to the Dagger Engine to orchestrate your delivery pipelines using a powerful, programmable GraphQL API. This server allows your AI agent to interact directly with Dagger's Directed Acyclic Graph (DAG) of operations.

The Vercel AI SDK gives every Dagger (Programmable CI) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

Container Orchestration — Initialize scratch containers, pull images, and manage OCI-compatible states.
GraphQL Workflows — Execute raw GraphQL queries to compose complex build and test logic dynamically.
Source Control — Query Git repositories and host environments to pull source code into your pipelines.
Resource Management — Handle secrets securely, manage persistent cache volumes, and fetch remote files via HTTP.
Module Inspection — Query the current module state and engine version to ensure environment consistency.

The Dagger (Programmable CI) MCP Server exposes 10 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 10 Dagger (Programmable CI) tools available for Vercel AI SDK

When Vercel AI SDK connects to Dagger (Programmable CI) through Vinkius, your AI agent gets direct access to every tool listed below — spanning ci-cd, container-orchestration, pipeline-automation, 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.

execute

Execute graphql query on Dagger (Programmable CI)

You can chain fields to create a Directed Acyclic Graph (DAG) of operations. Execute a raw GraphQL query against the Dagger engine

query

Query cache volume on Dagger (Programmable CI)

Constructs a cache volume

query

Query container on Dagger (Programmable CI)

Creates a scratch container and returns its ID

query

Query current module on Dagger (Programmable CI)

Queries the current module

query

Query directory on Dagger (Programmable CI)

Creates an empty directory and returns its ID

query

Query git on Dagger (Programmable CI)

Queries a Git repository

query

Query host on Dagger (Programmable CI)

Queries the host environment

query

Query http on Dagger (Programmable CI)

Returns a file from a URL

query

Query secret on Dagger (Programmable CI)

g., env://VAR_NAME, file://PATH, cmd://COMMAND). Creates a new secret

query

Query version on Dagger (Programmable CI)

Get the Dagger Engine version

Connect Dagger (Programmable CI) to Vercel AI SDK via MCP

Follow these steps to wire Dagger (Programmable CI) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 10 tools from Dagger (Programmable CI) and passes them to the LLM

Why Use Vercel AI SDK with the Dagger (Programmable CI) MCP Server

Vercel AI SDK provides unique advantages when paired with Dagger (Programmable CI) 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 Dagger (Programmable CI) integration everywhere

Built-in streaming UI primitives let you display Dagger (Programmable CI) 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

Dagger (Programmable CI) + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Dagger (Programmable CI) MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Dagger (Programmable CI) in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Dagger (Programmable CI) tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Dagger (Programmable CI) capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Dagger (Programmable CI) through natural language queries

Example Prompts for Dagger (Programmable CI) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Dagger (Programmable CI) immediately.

"Check the current version of the Dagger engine."

"Initialize a scratch container and return its ID."

"Get the state of the git repository at https://github.com/dagger/dagger."

Troubleshooting Dagger (Programmable CI) MCP Server with Vercel AI SDK

Common issues when connecting Dagger (Programmable CI) to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Dagger (Programmable CI) + Vercel AI SDK FAQ

Common questions about integrating Dagger (Programmable CI) 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.