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Typeform MCP Server for LangChainGive LangChain instant access to 8 tools to Create Webhook, Get Form Details, Get Workspace Details, and more

Built by Vinkius GDPR 8 Tools Framework

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

Ask AI about this App Connector for LangChain

The Typeform app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 8 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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({
        "typeform-alternative": {
            "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 Typeform, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Typeform
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 Typeform MCP Server

Connect your Typeform account to any AI agent and simplify how you collect data, manage surveys, and analyze user responses through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Typeform through native MCP adapters. Connect 8 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 Management — List all forms across your account and retrieve detailed field structures and logic.
  • Response Analysis — List and export individual submissions with filtering by date and completion status.
  • Workspace Oversight — Manage workspaces to keep your forms and surveys organized by project or team.
  • Real-time Monitoring — Create and manage webhooks to receive instant notifications for new form submissions.
  • Design Control — List available themes to ensure consistent branding across your surveys.
  • Integration Maintenance — Verify account configurations and regional settings directly from the agent.

The Typeform MCP Server exposes 8 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.

All 8 Typeform tools available for LangChain

When LangChain connects to Typeform through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-collection, user-feedback, lead-generation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_webhook

Requires a unique tag and a destination URL. Create or update a form webhook

get_form_details

Essential for understanding the questions asked in a form. Get details and structure for a specific form

get_workspace_details

Get details and forms for a workspace

list_design_themes

List all available design themes

list_forms

Useful for obtaining form IDs for response retrieval. List all Typeforms in the account

list_responses

Supports filtering by date (since) and completion status. List all collected responses for a form

list_webhooks

Webhooks are used to receive real-time alerts when a form is submitted. List all webhooks for a specific form

list_workspaces

Workspaces are used to organize collections of forms. List all Typeform workspaces

Connect Typeform to LangChain via MCP

Follow these steps to wire Typeform into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 8 tools from Typeform via MCP

Why Use LangChain with the Typeform MCP Server

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

01

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

02

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

03

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

04

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

Typeform + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Typeform in LangChain

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

01

"List all active forms in my Typeform account."

02

"Show me the last 5 responses for the 'Customer Satisfaction' form."

03

"List all forms in the 'Marketing Campaign' workspace (ID: 10293)."

Troubleshooting Typeform MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Typeform + LangChain FAQ

Common questions about integrating Typeform MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.