# How to integrate Uptimerobot MCP with Pydantic AI ```json { "title": "How to integrate Uptimerobot MCP with Pydantic AI", "toolkit": "Uptimerobot", "toolkit_slug": "uptimerobot", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/uptimerobot/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/uptimerobot/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:29:33.886Z" } ``` ## Introduction This guide walks you through connecting Uptimerobot to Pydantic AI using the Composio tool router. By the end, you'll have a working Uptimerobot agent that can add a new monitor for your homepage, delete the monitor for staging site, edit the maintenance window for tonight through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Uptimerobot account through Composio's Uptimerobot MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Uptimerobot with - [OpenAI Agents SDK](https://composio.dev/toolkits/uptimerobot/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/uptimerobot/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/uptimerobot/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/uptimerobot/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/uptimerobot/framework/codex) - [OpenClaw](https://composio.dev/toolkits/uptimerobot/framework/openclaw) - [Hermes](https://composio.dev/toolkits/uptimerobot/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/uptimerobot/framework/cli) - [Google ADK](https://composio.dev/toolkits/uptimerobot/framework/google-adk) - [LangChain](https://composio.dev/toolkits/uptimerobot/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/uptimerobot/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/uptimerobot/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/uptimerobot/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/uptimerobot/framework/crew-ai) ## 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 Uptimerobot - 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 Uptimerobot 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 Uptimerobot MCP server, and what's possible with it? The Uptimerobot MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Uptimerobot account. It provides structured and secure access to your monitoring dashboard, so your agent can perform actions like creating monitors, managing maintenance windows, retrieving account details, and updating public status pages on your behalf. - Automated monitor management: Easily add, edit, or delete monitors for your websites, applications, or services without manual dashboard navigation. - Maintenance window control: Let your agent fetch, edit, or update maintenance windows to schedule downtime or maintenance periods programmatically. - Public status page updates: Directly modify the configuration and details of your public status pages to keep stakeholders informed in real time. - Account and performance insights: Retrieve comprehensive account metrics, including details about your monitors and overall uptime statistics, with a simple agent request. - Monitor authentication and headers management: Inspect or adjust authentication types, custom HTTP headers, and HTTP status codes for your monitors for advanced configuration and troubleshooting. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `UPTIMEROBOT_ADD_MONITOR` | Add Monitor | Tool to create a new monitor. Use when you need to start monitoring a URL or service; call after obtaining a valid API key. | | `UPTIMEROBOT_DELETE_MONITOR` | Delete Monitor | Tool to delete a monitor. Use when you need to remove an existing monitor by its ID; use after confirming the monitor ID. | | `UPTIMEROBOT_EDIT_MAINTENANCE_WINDOW` | Edit Maintenance Window | Tool to edit an existing maintenance window. Use when you need to update its name, timing, recurrence, or duration after confirming the window ID. | | `UPTIMEROBOT_EDIT_MONITOR` | Edit Monitor | Tool to edit an existing monitor. Use after confirming the monitor ID exists. | | `UPTIMEROBOT_EDIT_PUBLIC_STATUS_PAGE` | Edit Public Status Page | Tool to edit an existing public status page. Use after confirming the page ID. Updates friendly name, monitor set, domain, and status options in one call. | | `UPTIMEROBOT_GET_ACCOUNT_DETAILS` | Get Account Details | Tool to retrieve account details. Use after authenticating with a valid API key to fetch account metrics. | | `UPTIMEROBOT_GET_ALERT_CONTACTS` | Get Alert Contacts | Tool to retrieve all alert contacts configured for the account. Use when you need to list available notification channels. | | `UPTIMEROBOT_GET_MAINTENANCE_WINDOW` | Get Maintenance Window | Tool to retrieve a specific maintenance window by ID. Use when you need to get detailed information about a single maintenance window. | | `UPTIMEROBOT_GET_MAINTENANCE_WINDOWS` | Get Maintenance Windows | Tool to retrieve maintenance windows. Use after confirming a valid API key. | | `UPTIMEROBOT_GET_MONITORS` | Get Monitors | Tool to fetch monitor details and status. Use after confirming account connection. | | `UPTIMEROBOT_GET_PUBLIC_STATUS_PAGES` | Get Public Status Pages | Tool to retrieve public status pages. Use after confirming API credentials to list all public status pages for an account. Supports pagination. | | `UPTIMEROBOT_LIST_INTEGRATIONS` | List Integrations | Tool to list all integrations. Use to retrieve configured integrations for the account. | | `UPTIMEROBOT_LIST_PSPS` | List Public Status Pages (v3) | Tool to list public status pages using the v3 API. Use to retrieve all PSPs with cursor-based pagination. | | `UPTIMEROBOT_NEW_MAINTENANCE_WINDOW` | New Maintenance Window | Tool to create a new maintenance window. Use after confirming window parameters. | | `UPTIMEROBOT_NEW_PUBLIC_STATUS_PAGE` | New Public Status Page | Tool to create a new public status page. Use when you want to publish a public status page for selected monitors after specifying a friendly name. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Uptimerobot MCP server is an implementation of the Model Context Protocol that connects your AI agent to Uptimerobot. It provides structured and secure access so your agent can perform Uptimerobot operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 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 ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies Install the required libraries. What's happening: - composio connects your agent to external SaaS tools like Uptimerobot - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables 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 ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Uptimerobot - MCPServerStreamableHTTP connects to the Uptimerobot MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```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() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to Uptimerobot 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 ```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 Uptimerobot composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["uptimerobot"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Uptimerobot endpoint - The agent uses GPT-5 to interpret user commands and perform Uptimerobot operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent uptimerobot_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[uptimerobot_mcp], instructions=( "You are a Uptimerobot assistant. Use Uptimerobot tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Uptimerobot API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```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 Uptimerobot.\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() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```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 Uptimerobot composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["uptimerobot"], ) 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 uptimerobot_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[uptimerobot_mcp], instructions=( "You are a Uptimerobot assistant. Use Uptimerobot 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 Uptimerobot.\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 Uptimerobot through Composio's Tool Router. With this setup, your agent can perform real Uptimerobot 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 + Uptimerobot for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## How to build Uptimerobot MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/uptimerobot/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/uptimerobot/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/uptimerobot/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/uptimerobot/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/uptimerobot/framework/codex) - [OpenClaw](https://composio.dev/toolkits/uptimerobot/framework/openclaw) - [Hermes](https://composio.dev/toolkits/uptimerobot/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/uptimerobot/framework/cli) - [Google ADK](https://composio.dev/toolkits/uptimerobot/framework/google-adk) - [LangChain](https://composio.dev/toolkits/uptimerobot/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/uptimerobot/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/uptimerobot/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/uptimerobot/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/uptimerobot/framework/crew-ai) ## Related Toolkits - [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure. - [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms. - [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place. - [Ably](https://composio.dev/toolkits/ably) - Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences. - [Abuselpdb](https://composio.dev/toolkits/abuselpdb) - Abuselpdb is a central database for reporting and checking IPs linked to malicious online activity. Use it to quickly identify and report suspicious or abusive IP addresses. - [Alchemy](https://composio.dev/toolkits/alchemy) - Alchemy is a blockchain development platform offering APIs and tools for Ethereum apps. It simplifies building and scaling Web3 projects with robust infrastructure. - [Algolia](https://composio.dev/toolkits/algolia) - Algolia is a hosted search API that powers lightning-fast, relevant search experiences for web and mobile apps. It helps developers deliver instant, typo-tolerant, and scalable search without complex infrastructure. - [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction. - [Apiflash](https://composio.dev/toolkits/apiflash) - Apiflash is a website screenshot API for programmatically capturing web pages. It delivers high-quality screenshots on demand for automation, monitoring, or reporting. - [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache. - [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence. - [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place. - [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines. - [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure. - [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code. - [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows. - [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights. - [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews. - [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease. - [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Uptimerobot MCP? With a standalone Uptimerobot MCP server, the agents and LLMs can only access a fixed set of Uptimerobot tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Uptimerobot and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Pydantic AI? 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 Uptimerobot tools. ### Can I manage the permissions and scopes for Uptimerobot while using Tool Router? Yes, absolutely. You can configure which Uptimerobot 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. ### How safe is my data with Composio Tool Router? 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 Uptimerobot data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)