How to Use the Basis Calculator MCP in AutoGen

Use AutoGen agents to debate and decide your hedging strategy using live Basis Calculator data.

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Connect Basis Calculator MCP to AutoGen

Create your Vinkius account to connect Basis Calculator to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Basis Calculator with AutoGen

Ask AI about this MCP

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Claude

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Gemini

Grok

Debate basis parity

Task your agents with analyzing the output of `calculate_current_basis`. One agent can defend the current price while another challenges the spread. This negotiation ensures your final decision is based on a consensus of competing viewpoints.

Compare historical averages

Use `get_historical_averages` to provide your agents with the necessary benchmarks for their discussion. Agents check these averages to see if current market behavior is an outlier or part of a known pattern.

Evaluate seasonal risk

Let your agents debate the implications of `get_seasonality_trend` data before executing a trade. They weigh the risks of current market conditions against long-term cycles to reach a balanced, defensible conclusion.

Setup guide

Set up Basis Calculator 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 Basis Calculator 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="Basis Calculator_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

You register the MCP tools as part of your AssistantAgent configuration. This gives your agents immediate access to the basis calculation functions during their conversations.

Yes, the agents pass tool outputs back and forth in the conversation history. This allows the team to build on each other's findings.

All your pricing data stays within the agent's local memory and conversation logs. No data is leaked outside your internal setup.

You define the system prompt for your agents to require agreement on the basis interpretation. The agents then call the tools and challenge each other until they align.

You can combine this MCP with other tools in your agent group chat. This lets you build complex systems that go beyond basis math.

Use it with your favorite AI tools

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

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