How do I find my Paperform Access Token?

In your Paperform account, go to **Account Settings** > **API**. There you can create and manage your API access tokens.

Can I see individual form responses?

Yes! Use the `list_submissions` tool to see a list of responses for a specific form, and `get_submission` to retrieve the full data for a particular entry.

Does this support webhook management?

Absolutely. You can use the `list_webhooks` and `create_webhook` tools to monitor and configure integrations for any of your forms.

Paperform MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Paperform
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Paperform through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "paperform": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Paperform, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Paperform MCP Server

Connect your Paperform account to any AI agent and take full control of your data collection workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Paperform through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Form Oversight — List all forms, retrieve detailed configurations, and manage your form library.
Submission Tracking — List and retrieve detailed data for form submissions to analyze responses in real-time.
Webhook Management — List and create webhooks for your forms to integrate with other services effortlessly.
Organizational Visibility — List folders and custom domains to maintain a clear view of your account structure.
Metadata Auditing — List all tags used across your forms to ensure consistent categorization.

The Paperform MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Paperform to LangChain via MCP

Follow these steps to integrate the Paperform MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Paperform via MCP

Why Use LangChain with the Paperform MCP Server

LangChain provides unique advantages when paired with Paperform through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Paperform MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Paperform queries for multi-turn workflows

Paperform + LangChain Use Cases

Practical scenarios where LangChain combined with the Paperform MCP Server delivers measurable value.

RAG with live data: combine Paperform tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Paperform, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Paperform tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Paperform tool call, measure latency, and optimize your agent's performance

Paperform MCP Tools for LangChain (10)

These 10 tools become available when you connect Paperform to LangChain via MCP:

create_webhook

Create a new webhook for a form

get_account_info

Get authenticated account information

get_form

Get details for a specific form

get_submission

Get details for a specific submission

list_custom_domains

List all custom domains configured

list_folders

List all form folders

list_forms

List all Paperform forms

list_submissions

List submissions for a form

list_tags

List all tags used in the account

list_webhooks

List webhooks for a form

Example Prompts for Paperform in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Paperform immediately.

"List all forms in my Paperform account."

"Show me the last 5 submissions for the 'Event Registration' form."

"List all webhooks configured for form 'form_12345'."

Troubleshooting Paperform MCP Server with LangChain

Common issues when connecting Paperform to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Paperform + LangChain FAQ

Common questions about integrating Paperform MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.