How to Use the ESPHome MCP in AutoGen
Deploy multi-agent AutoGen teams to negotiate and coordinate actions across your ESPHome devices.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ESPHome MCP to AutoGen
Create your Vinkius account to connect ESPHome 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.
Multi-agent coordination via the ESPHome MCP Server
`switch_action` lets your AutoGen agents toggle physical ESPHome switches after debating the optimal state of your environment. One AutoGen agent might suggest turning off an ESPHome heater to save power, while another checks safety parameters before agreeing. This consensus-driven approach prevents accidental triggers on critical ESPHome hardware. The AutoGen agents communicate, weigh the trade-offs, and only execute the switch command once they reach a joint agreement.
Collaborative environmental control in AutoGen
The MCP Server lets you adjust ventilation speeds via `fan_action` when your AutoGen monitoring and performance agents agree on air quality thresholds. The monitoring agent pulls ESPHome data, the performance agent proposes a speed, and the executor agent runs the tool. You can also use `cover_action` to let AutoGen agents coordinate natural cooling by adjusting ESPHome window blinds. They debate whether to use fans or covers based on real-time temperature telemetry.
Automated alarm and safety negotiations
`alarm_action` secures your physical space through coordinated AutoGen multi-agent verification. An AutoGen security agent checks for open windows on ESPHome sensors before a coordinator agent executes the arming sequence. If an ESPHome window sensor is open, the AutoGen agents will refuse to arm the system and instead trigger a `button_press` on a local notification buzzer. This prevents security gaps caused by single-agent execution errors.
Set up ESPHome 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes ESPHome tools and returns structured results.
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="ESPHome_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent ESPHome data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="ESPHome_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent ESPHome data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ESPHome. 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 ESPHome MCP in AutoGen
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