How to Use the Instatus (Status Pages API) MCP in AutoGen
Let your AutoGen agents debate incident severity and update your status page automatically when production breaks.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Instatus (Status Pages API) MCP to AutoGen
Create your Vinkius account to connect Instatus (Status Pages API) 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.
AutoGen Agents Debate and Trigger Incidents
The Instatus (Status Pages API) MCP Server lets your AutoGen team argue about what actually broke before touching your public status page. When an outage hits, you don't want a single agent making a rash decision to alert your customers. A monitoring agent can propose an issue, while a triage agent checks the telemetry to confirm it's not a false positive. Once they reach a consensus, the group uses `create_incident` or `create_incident_from_template` to publish the update. This setup keeps your status page accurate without requiring you to wake up at 3 AM just to click a button.
Dynamic Component Updates via Multi-Agent Consensus
Managing individual system parts with the Instatus (Status Pages API) MCP Server allows your AutoGen agents to evaluate infrastructure and negotiate when to degrade a specific service. Systems fail in parts, not all at once. If the database latency spikes, your performance agent might push to mark it as degraded while the budget agent checks if it's just a temporary backup job. After resolving their debate, the agents run `update_component` to change the specific system state on your page. They can also use `list_components` to verify they aren't overriding a manual override already set by your human ops team.
Feed Metric Datapoints Directly to Your Status Page
Feeding performance metrics to your dashboard using the Instatus (Status Pages API) MCP Server prevents manual data entry errors during active outages. This connection allows your AutoGen agents to gather real-time performance metrics from your cluster and push them directly to your public dashboards. Agents use `add_metric_datapoints_bulk` to dump up to 100 historical datapoints at once, keeping your customers informed with actual numbers rather than vague promises. If a metric goes out of bounds, the agents can immediately pivot to `add_metric_datapoint` for real-time tracking while they work on a patch.
Set up Instatus (Status Pages API) 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 Instatus (Status Pages API) 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="Instatus (Status Pages API)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Instatus (Status Pages API) 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="Instatus (Status Pages API)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Instatus (Status Pages API) 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 Instatus. 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 Instatus (Status Pages API) MCP in AutoGen
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