How to integrate Render MCP with Pydantic AI

This guide walks you through connecting Render to Pydantic AI using the Composio tool router. By the end, you'll have a working Render agent that can deploy latest code to staging service, restart production web service now, get current status of all services through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Render account through Composio's Render MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Introduction

This guide walks you through connecting Render to Pydantic AI using the Composio tool router. By the end, you'll have a working Render agent that can deploy latest code to staging service, restart production web service now, get current status of all services through natural language commands.

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

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

Also integrate Render with

ChatGPTOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle 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 Render
  • 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 Render 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 Render MCP server, and what's possible with it?

The Render MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Render account. It provides structured and secure access to your cloud infrastructure, so your agent can perform actions like deploying applications, managing services, monitoring site health, restarting instances, and scaling resources on your behalf.

  • Automated application deployment: Instantly deploy new web apps or services without manual steps, letting your agent handle setup and rollouts.
  • Service monitoring and status checks: Ask your agent to check the health and uptime of your apps or services, so you’re always up to speed on what’s running smoothly—and what’s not.
  • Instance management and restarts: Enable your agent to restart, stop, or scale up/down your running services to quickly respond to changes or issues.
  • Resource scaling and configuration: Let your agent adjust resource allocations, increasing or decreasing capacity based on current needs or traffic spikes.
  • Error diagnostics and log retrieval: Have your agent fetch logs or error reports to help troubleshoot issues before they become major problems.

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 Render
  • 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 Render
  • MCPServerStreamableHTTP connects to the Render 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 Render
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["render"],
    )
    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 Render 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
render_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[render_mcp],
    instructions=(
        "You are a Render assistant. Use Render tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Render endpoint
  • The agent uses GPT-5 to interpret user commands and perform Render 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 Render.\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
  • Render 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 Render 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 Render
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["render"],
    )
    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
    render_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[render_mcp],
        instructions=(
            "You are a Render assistant. Use Render 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 Render.\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 Render through Composio's Tool Router. With this setup, your agent can perform real Render 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 + Render 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 Render action and event your agent gets out of the box.

Add Header Rule

Tool to add a custom HTTP header rule to a Render service.

Add or Update Secret File

Tool to add or update a secret file for a Render service.

Add Resources to Environment

Tool to add resources to a Render environment.

Add Route

Tool to add redirect or rewrite rules to a Render service.

Create Custom Domain

Tool to add a custom domain to a Render service.

Create Environment Group

Tool to create a new environment group.

Create Environment

Tool to create a new environment within a Render project.

Create Postgres Instance

Tool to create a new Postgres instance on Render.

Create Registry Credential

Tool to create a registry credential.

Delete Environment Group Variable

Tool to remove an environment variable from an environment group.

Delete Environment Group Secret File

Tool to remove a secret file from an environment group.

Delete Environment

Tool to delete a specified environment.

Delete Key Value

Tool to delete a Key Value instance.

Delete Owner Log Stream

Tool to delete a log stream for an owner.

Delete Owner Metrics Stream

Tool to delete a metrics stream for a workspace.

Delete Registry Credential

Tool to delete a registry credential.

Delete Secret File

Tool to delete a secret file from a Render service.

Delete Service

Tool to delete a service.

Disconnect Blueprint

Tool to disconnect a blueprint from your Render account.

Get Active Connections

Tool to get active connection count metrics for Render resources.

Get Bandwidth Sources

Tool to get bandwidth usage breakdown by traffic source.

Get CPU Usage

Tool to retrieve CPU usage metrics for Render resources.

Get CPU Limit

Tool to retrieve CPU limit metrics for Render resources.

Get Disk Capacity

Tool to get disk capacity metrics for Render resources.

Get Disk Usage

Tool to retrieve disk usage metrics for Render resources.

Get Instance Count

Tool to get instance count metrics for Render resources.

Get Memory Usage

Tool to get memory usage metrics for one or more resources.

Get Memory Limit

Tool to get memory limit metrics for Render resources over a specified time range.

Get Memory Target

Tool to get memory target metrics for Render resources.

Get User

Tool to get the authenticated user.

Link Service to Environment Group

Tool to link a service to an environment group.

List Application Filter Values

Tool to list queryable instance values for application metrics.

List Blueprints

Tool to list all blueprints.

List Deploys

Tool to list recent deploys for a Render service with pagination and filtering.

List Disks

Tool to list all disks.

List Environment Groups

Tool to list environment groups.

List Environments

Tool to list environments for a project.

List Environment Variables for Service

Tool to list all environment variables configured directly on a Render service (with pagination).

List Instances

Tool to list instances of a service.

List Key Value Instances

Tool to list all Key Value instances.

List Logs

Tool to list logs for a specific workspace and resource.

List Log Label Values

Tool to list log label values for a workspace.

List Maintenance Runs

Tool to list maintenance runs.

List Notification Overrides

Tool to list notification overrides for services.

List Workspace Members

Tool to list workspace members.

List Owners

Tool to list owners (users and teams).

List Postgres Instances

Tool to list Postgres instances.

List Postgres Exports

Tool to list all exports for a Postgres instance.

List PostgreSQL Users

Tool to list PostgreSQL user credentials for a Render PostgreSQL database instance.

List Projects

List Projects

List Registry Credentials

Tool to list registry credentials.

List Resource Log Streams

Tool to list resource log stream overrides.

List Routes

Tool to list redirect/rewrite rules for a service.

List Secret Files

Tool to list secret files for a Render service.

List Services

Tool to list all services.

List Task Runs

Tool to list task runs.

List Tasks

Tool to list tasks.

List Webhooks

Tool to list all webhooks.

List Workflows

Tool to list workflows.

List Workflow Versions

Tool to list workflow versions.

Restart Service

Tool to restart a service.

Resume Service

Tool to resume a suspended service.

Retrieve Custom Domain

Tool to retrieve a specific custom domain for a service.

Retrieve deploy

Retrieve deploy

Retrieve Environment Group

Tool to retrieve a specific environment group by ID.

Retrieve Environment Variable

Tool to retrieve a specific environment variable from a Render environment group.

Retrieve Environment Group Secret File

Tool to retrieve secret file from an environment group.

Retrieve Environment Variable

Tool to retrieve a specific environment variable from a Render service.

Retrieve Owner

Tool to retrieve a specific owner (workspace) by ID.

Retrieve Owner Notification Settings

Tool to retrieve notification settings for a specific owner (workspace).

Retrieve Postgres Instance

Tool to retrieve a specific Postgres instance.

Retrieve Project

Tool to retrieve a specific project by ID.

Retrieve Registry Credential

Tool to retrieve a registry credential by ID.

Retrieve Secret File

Tool to retrieve a secret file from a Render service.

Retrieve Service

Tool to retrieve a specific service by ID.

Stream Task Runs Events

Tool to stream real-time task run events via Server-Sent Events (SSE).

Subscribe to Logs

Tool to subscribe to real-time logs via WebSocket connection.

Suspend Service

Tool to suspend a service.

Trigger Deploy

Tool to trigger a new deploy for a specified service.

Update Environment Group

Tool to update an environment group's name.

Update Environment Group Variable

Tool to add or update an environment variable in an environment group.

Update Environment Group Secret File

Tool to add or update a secret file in an environment group.

Update Environment Variable

Tool to add or update an environment variable for a Render service.

Update Environment Variables for Service

Tool to update environment variables for a Render service.

Update Header Rules

Tool to replace all header rules for a Render service.

Update Owner Log Stream

Tool to update log stream configuration for an owner.

Update Owner Notification Settings

Tool to update notification settings for a specific owner (workspace).

Update Postgres Instance

Tool to update a Postgres instance configuration.

Update Project

Tool to update a project's name.

Update Registry Credential

Tool to update a registry credential.

Update Resource Log Stream

Tool to update log stream override for a resource.

Update Routes

Tool to update redirect/rewrite rules for a service.

Update Secret Files for Service

Tool to update secret files for a Render service.

Update Service

Tool to update a service configuration.

Verify Custom Domain

Tool to verify DNS configuration for a custom domain.

FRAMEWORKS

How to build Render MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Render MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Render MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Render MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Render MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Render MCP with Claude Cowork

Codex logo

Codex

Use Render MCP with Codex

Cursor logo

Cursor

Use Render MCP with Cursor

OpenClaw logo

OpenClaw

Use Render MCP with OpenClaw

Hermes logo

Hermes

Use Render MCP with Hermes

CLI logo

CLI

Use Render MCP with CLI

Google ADK logo

Google ADK

Use Render MCP with Google ADK

LangChain logo

LangChain

Use Render MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Render MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Render MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Render MCP with LlamaIndex

CrewAI logo

CrewAI

Use Render MCP with CrewAI

OpenCode logo

OpenCode

Use Render MCP with OpenCode

VS Code logo

VS Code

Use Render MCP with VS Code

FAQ

Frequently asked questions

With a standalone Render MCP server, the agents and LLMs can only access a fixed set of Render tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Render 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 Render tools.

Yes, absolutely. You can configure which Render 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 Render data and credentials are handled as safely as possible.

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave
Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu
Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola
Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche
Jerome Leclanche
Co-Founder, Ingram Technologies