Dagger (Programmable CI) MCP Server for AutoGenGive AutoGen instant access to 10 tools to Execute Graphql Query, Query Cache Volume, Query Container, and more
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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())
* 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 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 cache volume on Dagger (Programmable CI)
Constructs a cache volume
Query container on Dagger (Programmable CI)
Creates a scratch container and returns its ID
Query current module on Dagger (Programmable CI)
Queries the current module
Query directory on Dagger (Programmable CI)
Creates an empty directory and returns its ID
Query git on Dagger (Programmable CI)
Queries a Git repository
Query host on Dagger (Programmable CI)
Queries the host environment
Query http on Dagger (Programmable CI)
Returns a file from a URL
Query secret on Dagger (Programmable CI)
g., env://VAR_NAME, file://PATH, cmd://COMMAND). Creates a new secret
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.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
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.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Dagger (Programmable CI) tools to solve complex tasks
Role-based architecture lets you assign Dagger (Programmable CI) tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Dagger (Programmable CI) tool calls
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.
Collaborative analysis: one agent queries Dagger (Programmable CI) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Dagger (Programmable CI), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Dagger (Programmable CI) data to make informed decisions about resource distribution
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.
"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 AutoGen
Common issues when connecting Dagger (Programmable CI) to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Dagger (Programmable CI) + AutoGen FAQ
Common questions about integrating Dagger (Programmable CI) MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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