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

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Dagger (Programmable CI) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Dagger (Programmable CI) MCP Server for Mastra AI 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

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typescript
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: {
      "dagger-programmable-ci": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Dagger (Programmable CI) Agent",
    instructions:
      "You help users interact with Dagger (Programmable CI) " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Dagger (Programmable CI)?"
  );
  console.log(result.text);
}

main();
Dagger (Programmable CI)
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.

Mastra's agent abstraction provides a clean separation between LLM logic and Dagger (Programmable CI) tool infrastructure. Connect 10 tools through 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.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

Follow these steps to wire Dagger (Programmable CI) into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

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

Explore tools

Mastra discovers 10 tools from Dagger (Programmable CI) via MCP

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

Mastra AI provides unique advantages when paired with Dagger (Programmable CI) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Dagger (Programmable CI) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Dagger (Programmable CI) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Dagger (Programmable CI) + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Dagger (Programmable CI), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Dagger (Programmable CI) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Dagger (Programmable CI) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Dagger (Programmable CI) tools alongside other MCP servers

Example Prompts for Dagger (Programmable CI) in Mastra AI

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

01

"Check the current version of the Dagger engine."

02

"Initialize a scratch container and return its ID."

03

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

Troubleshooting Dagger (Programmable CI) MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Dagger (Programmable CI) + Mastra AI FAQ

Common questions about integrating Dagger (Programmable CI) MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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