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How to Use the Dagger (Programmable CI) MCP in Claude

Run Dagger (Programmable CI) pipelines directly inside Claude Desktop to build and test code locally without switching to a terminal.

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Works with every AI agent you already use

…and any MCP-compatible client

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Claude Desktop

Connect Dagger (Programmable CI) MCP to Claude Desktop

Create your Vinkius account to connect Dagger (Programmable CI) to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Direct Pipeline Execution via MCP Server

This Dagger (Programmable CI) MCP Server allows Claude Desktop to trigger pipelines directly from your chat. Ask Claude Desktop to run your Dagger builds or spin up test environments. Your agent uses `execute_graphql_query` to send commands straight to your local Dagger engine. You do not have to copy-paste terminal outputs anymore because the tool returns pipeline results directly into your chat window.

Local Resource and Cache Management

Managing local build caches becomes straightforward when Claude Desktop connects to this Dagger engine. Your desktop agent calls `query_cache_volume` to persist build outputs across runs, keeping your feedback loops incredibly short. If you need a clean slate, Claude Desktop runs `query_directory` to set up empty workspaces. The tool also calls `query_host` to inspect your local system paths, keeping your build files organized without manual cleanup.

Git and Secret Integration

Integrating Git repositories and secrets inside Claude Desktop is handled directly by this Dagger (Programmable CI) server. Your agent uses `query_git` to pull exact repository states and feeds them straight into your active pipeline. Security matters, so Claude Desktop manages sensitive variables safely. It calls `query_secret` to pass environment variables or files to your containers without exposing plain text in your chat logs.

Setup guide

Set up Dagger (Programmable CI) MCP in Claude Web or Desktop

  1. 1

    Open Claude Settings

    Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

  2. 2

    Add Custom Connector

    Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

  3. 3

    Start a conversation

    Open a new chat. The Dagger (Programmable CI) MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

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Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Dagger (Programmable CI) MCP in Claude Desktop

Type a request like 'run my tests' in the chat. Claude Desktop uses `execute_graphql_query` to talk to your local Dagger engine, starting the build and printing the logs in real time.
Yes. The server exposes `query_cache_volume` which Claude Desktop invokes to persist build artifacts on your machine. This speeds up consecutive pipeline runs directly from your chat interface.
It does. Claude Desktop calls `query_git` to fetch your private code and uses `query_secret` to safely handle the required SSH keys or access tokens. This keeps your private code secure while building locally.
The agent uses `query_container` to create a scratch container on your local engine. This MCP tool lets you run commands or inspect files as part of your pipeline run.
All GraphQL queries and container IDs stay on your local machine. The server processes `query_secret` requests locally via stdio, meaning your API tokens and environment variables never pass through external servers.

Start using the Dagger (Programmable CI) MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Dagger (Programmable CI). Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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