How to Use the YepCode MCP in AutoGen

Let multiple agents debate decisions using YepCode's capabilities with AutoGen.

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Connect YepCode MCP to AutoGen

Create your Vinkius account to connect YepCode 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 YepCode with AutoGen

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Perplexity

Consensus-Driven Process Decisions

You can set up a multi-agent conversation where one agent reviews team access via `list_teams` and another agent checks current process status using `get_process_details`. They debate which service is safest to interact with. The final agent uses the consensus (the decision) to call `run_process`, ensuring all parties agree before any code executes.

Negotiating Secret Access Requirements

One agent might argue for maximum access, prompting another agent to check available credentials using `list_secrets`. The agents debate the risk level based on what they find. The conversation forces a negotiation that results in a minimum viable set of permissions needed to proceed.

Debating Optimal Next Steps

Agents can analyze past performance using `list_executions` and generate multiple hypotheses. They then debate which process is most likely to succeed based on that history. This multi-perspective review allows the user to make a highly informed decision, going beyond simple sequential tool calling.

Setup guide

Set up YepCode 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 YepCode 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="YepCode_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="YepCode_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent YepCode 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 YepCode. 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 YepCode MCP in AutoGen

AutoGen doesn't just execute tools; it uses them as data points in a debate. Agents call `list_processes` or `list_teams`, and the resulting output fuels the conversation, leading to a shared conclusion.

Absolutely. They can work together: one agent finds a team (`list_teams`), another checks its secrets (`list_secrets`), and finally, the group decides to execute code via `run_process`.

The server provides structured access to process details, team structures, and execution history. These are all the inputs agents use to build their arguments.

Yes. Because it forces multiple perspectives—like a security agent vs. an efficiency agent—it handles ambiguous or high-risk decisions much better than linear, single-path automation.

This server touches account secrets. The debate process must ensure that the final decision to use credentials is based on verifiable evidence from `list_secrets`.

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