Paperform Integration for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Paperform MCP or direct API to create forms, collect submissions, manage responses, and automate workflows through natural language.
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Try Paperform now

Enter a prompt below to test the integration in our Tool Router playground. You'll be redirected to sign in and try it live.

Supported Tools

Tools
Get SpaceTool to retrieve a space by ID from Paperform.
Get Space FormsTool to retrieve forms in a space from Paperform.
List FormsTool to list all forms accessible by the authorized user.
List SpacesTool to list all spaces accessible by the authorized user.
List TranslationsTool to list all translations accessible by the authorized user.
Python
TypeScript

Install Composio

python
pip install composio claude-agent-sdk
Install the Composio SDK for Python or TypeScript

Initialize Client and 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
Import and initialize the Composio client, then create a Tool Router session for Paperform

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 Paperform tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('List all responses for the “Contact Us” form')
        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 (Anthropic Claude or Mastra)

Why Use Composio?

AI Native Paperform Integration

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

Managed Auth

  • Built-in OAuth handling with automatic token refresh and rotation
  • Central place to manage, scope, and revoke Paperform 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 Paperform
  • Scoped, least privilege access to Paperform resources
  • Full audit trail of agent actions to support review and compliance

Frequently Asked Questions

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

Yes, Paperform 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
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
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.