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

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Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Dagger (Programmable CI) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Ask AI about this MCP Server for AutoGen

The Dagger (Programmable CI) MCP Server for AutoGen 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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python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="dagger_programmable_ci_agent",
            tools=tools,
            system_message=(
                "You help users with Dagger (Programmable CI). "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Dagger (Programmable CI)
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60%Token savings
High SecurityEnterprise-grade
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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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Dagger (Programmable CI) tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen

When AutoGen 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 AutoGen via MCP

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

01

Install AutoGen

Run pip install "autogen-ext[mcp]"
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration
04

Explore tools

The workbench discovers 10 tools from Dagger (Programmable CI) automatically

Why Use AutoGen with the Dagger (Programmable CI) MCP Server

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

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Dagger (Programmable CI) tools to solve complex tasks

02

Role-based architecture lets you assign Dagger (Programmable CI) tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Dagger (Programmable CI) tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Dagger (Programmable CI) tool responses in an isolated environment

Dagger (Programmable CI) + AutoGen Use Cases

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

01

Collaborative analysis: one agent queries Dagger (Programmable CI) while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Dagger (Programmable CI), a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Dagger (Programmable CI) data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Dagger (Programmable CI) responses in a sandboxed execution environment

Example Prompts for Dagger (Programmable CI) in AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Dagger (Programmable CI) + AutoGen FAQ

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

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Dagger (Programmable CI) tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

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