How to integrate Render MCP with CrewAI

This guide walks you through connecting Render to CrewAI 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 CrewAI 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 CrewAI 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 CrewAI 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 AILlamaIndex

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Render connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Render
  • Build a conversational loop where your agent can execute Render operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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 step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Render connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
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 crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Render via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
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_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Render MCP URL
6

Create a Composio Tool Router session for Render

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["render"])

url = session.mcp.url
What's happening:
  • You create a Render only session through Composio
  • Composio returns an MCP HTTP URL that exposes Render tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with Render and CrewAI:

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["render"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Render through Composio's Tool Router. The agent can perform Render operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
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

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. CrewAI 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