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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Dagger with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Build, test, and deploy using Dagger's programmable CI engine. Execute GraphQL queries, manage containers, and orchestrate pipelines directly from your AI agent

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 10 capabilities

The complete Dagger capability set.

These are the exact actions your AI can choose when you ask it to work with Dagger.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Dagger.

  1. 01

    Query cache volume

    Constructs a cache volume

  2. 02

    Query container

    Creates a scratch container and returns its ID

  3. 03

    Query directory

    Creates an empty directory and returns its ID

  4. 04

    Query host

    Queries the host environment

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Dagger.

  1. 05

    Query git

    Queries a Git repository

  2. 06

    Execute graphql query

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

  3. 07

    Query current module

    Queries the current module

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Dagger.

  1. 08

    Query http

    Returns a file from a URL

  2. 09

    Query secret

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

  3. 10

    Query version

    Get the Dagger Engine version

Observed, not estimated

881ms average. Fast in production.

Dagger is checked daily against the live service.

Daily averagePeak 1056ms
Aug 20Today
Fastest day
680ms
Slowest day
1056ms
14-day trend
Slowing+43%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Dagger, so you can see the experience inside your AI.

It does not authenticate your account with Dagger. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Dagger Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_jU749naeDKubVrRR38BTiJPB8XzxtT6YXppJtFAW/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Dagger capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "dagger-programmable-ci-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_jU749naeDKubVrRR38BTiJPB8XzxtT6YXppJtFAW/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Dagger owners ask.

  • 01

    How do I run a specific build command using Dagger?

    You can use the execute_graphql_query capability to send a raw GraphQL query to the Dagger engine, allowing you to chain container operations like from, withExec, and stdout.

  • 02

    Can I access files from my local machine in the pipeline?

    Yes, the query_host capability allows you to retrieve the state ID for your host environment, which can then be used to mount local directories into your Dagger containers.

  • 03

    How are secrets handled in this integration?

    Use the query_secret capability to load secrets from URIs (like env:// or file://). This returns a secret ID that can be safely passed to other Dagger operations without exposing the plaintext value.

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