How to Use the CircleCI MCP in AutoGen

Enable multi-agent debate on your CircleCI build health using the AutoGen framework.

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Connect CircleCI MCP to AutoGen

Create your Vinkius account to connect CircleCI to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CircleCI with AutoGen

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Perplexity

Debate build status in AutoGen

Let your agents use `get_workflow_details` to verify build integrity. One agent checks the status while another challenges the result if logs show errors. This debate ensures that only verified information reaches your notification channel. The agents converge on a consensus before acting.

Autonomous pipeline management for AutoGen

Assign an agent to trigger builds via `trigger_cci_pipeline` when specific criteria are met. Other agents monitor the progress using `list_workflow_jobs`. This creates a closed-loop system for your deployments. Your agents handle the heavy lifting while you verify the final outcome.

Consensus-driven job oversight

Agents use `list_cci_contexts` to evaluate if a build matches current requirements. If the context deviates, the agents negotiate a fix or alert you. They don't just execute commands. They deliberate on the best path forward based on your organization's specific settings.

Setup guide

Set up CircleCI MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes CircleCI tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="CircleCI_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent CircleCI data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="CircleCI_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent CircleCI data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CircleCI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about CircleCI MCP in AutoGen

Agents utilize the tool adapter to call API functions directly. They discuss the results of each call until they agree on the next logical step.

Yes, by comparing workflow data against your expected pipeline state. Multiple agents weigh in on whether a failure requires a rollback or a retry.

Vinkius handles the underlying authentication. Your agents interact with the server through a secure transport, keeping your credentials hidden from the agents themselves.

They are. You provide the tool to the AssistantAgent, and the agents decide whether the current state warrants a new pipeline run.

The server operates in a zero-trust sandbox. Only the tools you explicitly provide can reach your data, and every request is scoped to your specific endpoint token.

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