How to Use the COR MCP in AutoGen

Let your AutoGen agents debate project margins and task assignments using the COR MCP Server.

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Connect COR MCP to AutoGen

Create your Vinkius account to connect COR 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 COR with AutoGen

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Debate project status in AutoGen

Assign one agent to monitor `list_cor_projects` while another checks `list_cor_time_entries`. They debate whether a project is profitable based on the data they find. This consensus-driven approach catches issues that a single agent might miss. The agents challenge each other until they agree on the project's financial health.

Negotiate resource allocation in AutoGen

Have your security agent flag potential overruns from `get_cor_task` while your efficiency agent pushes for faster completion. They negotiate to find a middle ground that keeps the agency profitable. This setup prevents impulsive decisions. Your agents use the actual tool outputs to back up their claims during the conversation.

Manage team workflows in AutoGen

Use `list_cor_team_users` to populate your agent's knowledge of the current roster. Agents discuss who has the capacity to take on new tasks based on the data provided. The conversation framework ensures that every team assignment is vetted by multiple perspectives. You get a decision that considers both speed and budget.

Setup guide

Set up COR 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 COR 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="COR_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent COR 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="COR_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Pass the tool list from the server to your AssistantAgent constructor. The MCP adapter handles the schema conversion so your agents can call the functions immediately.

They are designed to debate and challenge each other. When they call tools to get project data, they use those results to argue their position.

The server supports streamable HTTP, allowing your agents to make concurrent requests. Each agent interacts with the platform using the same secure endpoint.

Your project and team information is ephemeral. It only exists within the secure sandbox used by your agents during the conversation.

Your time entries and margin data are protected by zero-trust security. We ensure your agency's sensitive records are never exposed to unauthorized processes.

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