How to Use the ISO New England MCP in AutoGen

Let your AutoGen agents debate grid strategy using real-time ISO New England data inputs.

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Connect ISO New England MCP to AutoGen

Create your Vinkius account to connect ISO New England 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 ISO New England with AutoGen

Ask AI about this MCP

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Claude

Perplexity

Debate market conditions in AutoGen

Set up a performance agent and a risk agent to analyze `get_day_ahead_lmp`. They will argue based on the price spread. This structure finds the best path forward. One agent pushes for aggressive bidding, while the other checks grid stability via `get_reserve`.

Verify generation sources with multi-agent teams

Assign an analyst agent to monitor `get_fuel_mix`. If renewables drop, it alerts the operations agent to plan for gas dispatch. Agents reach consensus before acting. They cross-reference `get_system_load` to ensure the decision holds up under stress.

Automate grid procurement workflows

Use the agents to negotiate schedules based on `get_seven_day_forecast`. They simulate outcomes and pick the most stable option. Each agent brings a different perspective to the table. They negotiate using the same data, ensuring no detail gets ignored.

Setup guide

Set up ISO New England 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 ISO New England 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="ISO New England_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent ISO New England 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="ISO New England_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent ISO New England 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 ISO New England. 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 ISO New England MCP in AutoGen

Agents pass the tool outputs in their conversation history. Every agent in the group chat sees the data retrieved by the executor.

They can. You define the logic for their debate. They will challenge the interpretation of the LMP data until they reach a consensus.

It is. The data comes directly from the grid operator. Your agents make decisions based on the same numbers grid managers use.

All ten tools are available. You can provide the full list to your agent team to cover every aspect of grid operations.

The server uses ephemeral sessions. Your grid data is never stored outside of your active agent conversation.

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

Mastra AI sdk-typescript

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