Renderform Integration for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Renderform MCP or direct API to generate on-brand images, edit template content, insert QR codes, and automate creative workflows through natural language.
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Why Use Composio?

AI Native Renderform Integration

  • Supports both Renderform MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for reading, writing, and querying your Renderform data

Managed Auth

  • Built-in OAuth handling with automatic token refresh and rotation
  • Central place to manage, scope, and revoke Renderform access
  • Per user and per environment credentials instead of hard-coded keys

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Renderform
  • Scoped, least privilege access to Renderform resources
  • Full audit trail of agent actions to support review and compliance

Connect Renderform MCP Tool with your Agent

Python
TypeScript

Install Composio

python
pip install composio claude-agent-sdk
Install the Composio SDK and Claude Agent SDK

Create Tool Router Session

python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
Initialize the Composio client and create a Tool Router session

Connect to AI Agent

python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Renderform tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Generate a marketing banner with our logo and the text "Spring Sale Starts Now!"')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
Use the MCP server with your AI agent

Connect Renderform API Tool with your Agent

Python
TypeScript

Install Composio

python
pip install composio_openai
Install the Composio SDK

Initialize Composio and Create Tool Router Session

python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
Import and initialize Composio client, then create a Tool Router session

Execute Renderform Tools via Tool Router with Your Agent

python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Create an image with the text "Limited Time Offer" and a blue background.'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
Get tools from Tool Router session and execute Renderform actions with your Agent

Use Renderform with any AI Agent Framework

Choose a Framework you want to connect Renderform with

OpenAI Agents SDK

OpenAI Agents SDK

Use Renderform MCP with OpenAI Agents SDK

Claude Agents SDK

Claude Agents SDK

Use Renderform MCP with Claude Agents SDK

Google ADK

Google ADK

Use Renderform MCP with Google ADK

Langchain

Langchain

Use Renderform MCP with Langchain

AI SDK

AI SDK

Use Renderform MCP with AI SDK

Mastra AI

Mastra AI

Use Renderform MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Renderform MCP with LlamaIndex

CrewAI

CrewAI

Use Renderform MCP with CrewAI

Pydantic AI

Pydantic AI

Use Renderform MCP with Pydantic AI

Autogen

Autogen

Use Renderform MCP with Autogen

Frequently Asked Questions

Do I need my own developer credentials to use Renderform with Composio?

Yes, Renderform requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.

What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

Used by agents from

Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.

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