How to Use the Cedar AI MCP in AutoGen

Q: How do I get Cedar AI tools into AutoGen agents?

Use the mcpservertools adapter to fetch the tool schema. You then provide this list to your AssistantAgent constructor to enable agent capabilities.

Create debating rail agents in AutoGen using Cedar AI to reach consensus on complex yard operations.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Cedar AI MCP to AutoGen

Create your Vinkius account to connect Cedar AI 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.

GDPR Free for Subscribers

Setup Cedar AI with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate Railcar Movements

Assign `arrive_train` and `depart_train` to specific agents that negotiate yard capacity. Your agents debate the optimal time to record these events based on current yard traffic. This creates a system where a performance agent pushes for speed while a validation agent checks the inventory. They reach a consensus before executing the final tool call.

Resolve Work Order Conflicts

Let agents challenge each other using data from `list_work_orders`. If one agent identifies a conflict in a schedule, it forces the other to re-evaluate the plan. The system uses the tool output to settle debates. You get a verified work order update only after the agents stop arguing and agree on the data.

Negotiate Asset Status

Use `update_railcar_status` as the final action after your agents debate the condition of a railcar. One agent identifies a defect while another confirms the repair status. They converge on a decision before writing the change. This prevents errors by ensuring multiple perspectives review the status update.

Setup guide

Set up Cedar AI 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 Cedar AI 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="Cedar AI_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Cedar AI 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 Cedar AI. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Cedar AI now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cedar AI MCP in AutoGen

Use the mcp_server_tools adapter to fetch the tool schema. You then provide this list to your AssistantAgent constructor to enable agent capabilities.

They can. You define a multi-agent group chat where agents use tool outputs as evidence to challenge or support their conclusions.

It supports Streamable HTTP transports. This allows your agents to receive tool responses in real-time as they conduct their conversation.

The McpToolAdapter automatically maps the tool definitions. You do not need to manually write wrappers for the rail operations.

We use a zero-trust architecture for all agent interactions. Every request requires an endpoint token, and your inventory data is never logged or cached after the transaction.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript