How to integrate Instatus MCP with Pydantic AI

This guide walks you through connecting Instatus to Pydantic AI using the Composio tool router. By the end, you'll have a working Instatus agent that can list your status pages, create incidents, post updates, schedule maintenance, and manage components through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Instatus account through Composio's Instatus MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Instatus is a status page and incident communication platform for service health, incidents, maintenance, monitors, and subscribers. Use it to keep customers informed during outages, planned work, and live service updates.

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Introduction

This guide walks you through connecting Instatus to Pydantic AI using the Composio tool router. By the end, you'll have a working Instatus agent that can list your status pages, create incidents, post updates, schedule maintenance, and manage components through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Instatus account through Composio's Instatus MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Instatus with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Instatus
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Instatus workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

What is the Instatus MCP server, and what's possible with it?

The Instatus MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Instatus account. It provides structured and secure access to your status pages, components, incidents, maintenance, and service health, so your agent can monitor components, report incidents, publish updates, schedule maintenance, and review service history on your behalf.

  • Status page and service visibility: Have your agent list your status pages, review their components, and check the current health and configuration of a specific service.
  • Incident communication: Let the agent create incidents, review affected components and update history, edit incident details, and publish lifecycle updates as conditions change.
  • Maintenance planning: Direct your agent to schedule or start maintenance, inspect planned and past work, revise schedules and public messages, and post progress updates.
  • Component management: Instruct your agent to create status page components and update their health or presentation when service conditions change.
  • Operational history review: Have your agent list incidents and maintenance events to help your team understand recent disruptions, planned work, and current service status.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Instatus
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Instatus
  • MCPServerStreamableHTTP connects to the Instatus MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Instatus
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["instatus"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Instatus tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
instatus_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[instatus_mcp],
    instructions=(
        "You are a Instatus assistant. Use Instatus tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Instatus endpoint
  • The agent uses GPT-5 to interpret user commands and perform Instatus operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Instatus.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Instatus API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Instatus and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Instatus
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["instatus"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    instatus_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[instatus_mcp],
        instructions=(
            "You are a Instatus assistant. Use Instatus tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Instatus.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Instatus through Composio's Tool Router. With this setup, your agent can perform real Instatus actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Instatus for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Instatus action and event your agent gets out of the box.

Add Incident Update

Post a public lifecycle update to an Instatus incident and change affected component states.

Add Maintenance Update

Post a public progress update to an Instatus maintenance, optionally changing its lifecycle, timing, and affected component states.

Create Component

Create a component on an Instatus status page.

Create Incident

Create an incident on an Instatus status page with optional affected component states.

Create Maintenance

Schedule or start a maintenance on an Instatus status page.

Get Component

Get the current health and configuration of one component on an Instatus status page.

Get Incident

Get one Instatus incident with its affected components and update history.

Get Maintenance

Get one Instatus maintenance with its schedule, affected components, automation settings, and update history.

List Components

List components and their current health for one Instatus status page, including child components where present.

List Incidents

List incidents for an Instatus status page, optionally including or excluding lifecycle statuses.

List Maintenances

List scheduled and historical maintenances for an Instatus status page.

List Status Pages

List status pages available to the connected Instatus account so an agent can discover page IDs for component, incident, and maintenance operations.

Update Component

Change a component's health or presentation on an Instatus status page.

Update Incident

Edit an existing Instatus incident's name, timing, lifecycle status, affected components, or component states.

Update Maintenance

Fully replace an Instatus maintenance's public message, schedule, lifecycle state, affected components and states, and automation settings.

FRAMEWORKS

How to build Instatus MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Instatus MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Instatus MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Instatus MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Instatus MCP with Claude Cowork

Codex logo

Codex

Use Instatus MCP with Codex

OpenClaw logo

OpenClaw

Use Instatus MCP with OpenClaw

Hermes logo

Hermes

Use Instatus MCP with Hermes

CLI logo

CLI

Use Instatus MCP with CLI

Google ADK logo

Google ADK

Use Instatus MCP with Google ADK

LangChain logo

LangChain

Use Instatus MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Instatus MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Instatus MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Instatus MCP with LlamaIndex

CrewAI logo

CrewAI

Use Instatus MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Instatus MCP server, the agents and LLMs can only access a fixed set of Instatus tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Instatus and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Instatus tools.

Yes, absolutely. You can configure which Instatus scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Instatus data and credentials are handled as safely as possible.

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