How to Use the GridStatus MCP in AutoGen

Q: How do I load GridStatus MCP tools into my AutoGen agents?

Install autogen-extmcp and use mcpservertools with your Vinkius server URL. Pass the resulting tool list directly to your AssistantAgent constructor to give them grid access.

Q: Can AutoGen agents query GridStatus to discover available datasets?

Yes, agents call the listdatasets tool to discover available ISOs and then decide whether to query CAISO, ERCOT, or PJM based on the conversation goals. They pass the correct lowercase identifier to tools like getloaddata.

Deploy multi-agent AutoGen teams using this MCP server to debate real-time grid conditions and negotiate energy trading strategies.

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Setup GridStatus with AutoGen

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Run Multi-Agent Debates with GridStatus MCP Server

The GridStatus MCP Server provides twelve analytical tools that your AutoGen agents use to debate grid stability and pricing. A dispatch agent can query `get_load_data` to identify peak demand, while a separate green-energy agent calls `get_fuel_mix` to challenge whether fossil reserves are required. This collaborative setup forces your agents to negotiate operational decisions based on real physical constraints. They argue using actual megawatt and dollar figures, ensuring that the final recommended action is grounded in current grid realities.

Negotiate Texas Power Trades

This server uses `get_realtime_spp` and `get_spp_data` to feed live ERCOT pricing directly into your multi-agent trading conversation. An analyst agent tracks 15-minute settlement prices at the Houston hub, while a risk agent reviews historical volatility to set exposure limits. The agents must reach a consensus before executing any simulated trade. I mean, this multi-agent verification loop stops single-agent mistakes by forcing a structured peer review of every live pricing point.

Manage API Overhead via Agent Consensus

The server exposes `get_api_usage` to let a dedicated manager agent track your active query limits during heavy simulation runs. If the manager detects that you are running out of rows, it negotiates with the data-gathering agents to reduce polling frequencies. This cooperative mechanism keeps your system running without hitting hard API blocks. The agents automatically switch from granular 5-minute queries to broader `get_standardized_data` calls to preserve your remaining quota.

Setup guide

Set up GridStatus 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 GridStatus 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="GridStatus_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GridStatus. 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 GridStatus MCP in AutoGen

Install autogen-ext[mcp] and use mcp_server_tools with your Vinkius server URL. Pass the resulting tool list directly to your AssistantAgent constructor to give them grid access.

Yes, agents call the list_datasets tool to discover available ISOs and then decide whether to query CAISO, ERCOT, or PJM based on the conversation goals. They pass the correct lowercase identifier to tools like get_load_data.

The agents debate the differences between day-ahead pricing from get_lmp_data and live 5-minute pricing from get_realtime_lmp. They use their conversation log to reconcile the variance and determine the best trading action.

Yes, your agents can coordinate to query historical intervals using query_dataset with custom filter operators. One agent pulls the historical rows while another runs the backtesting script on that data.

No, the server only processes requests for public electricity grid data like load, fuel mix, and nodal prices. Your agents' private conversations, system prompts, and negotiation logic never leave your local AutoGen environment.

Use it with your favorite AI tools

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

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