How to Use the Typeform MCP in LangChain

Q: Can I use LangChain to list all Typeform forms?

Yep. Call the listforms tool. It returns a list of every form ID, which you can then feed into other tools for further inspection or processing.

Q: If I need responses from Typeform, does LangChain handle that?

Absolutely. Use getformresponses to pull the submissions using a form ID. The resulting data is passed directly back into your chain for immediate use.

Q: How do I check Typeform themes with LangChain?

You run the listformthemes tool. It provides available visual options, and LangChain can incorporate this metadata into a larger document or decision-making process.

Build multi-step workflows for Typeform using LangChain.

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Connect Typeform MCP to LangChain

Create your Vinkius account to connect Typeform to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Typeform with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Map out all your available Typeform assets.

Need to know what forms exist? Use `list_forms` to get every form ID in the account. You can also call `list_workspaces` if you want to scope down your search to a specific client area. This lets your agent decide which pool of data it needs before running any other query.

Analyze Typeform performance metrics with LangChain.

Understand how well forms are working. Run `get_form_insights` to pull key analytics for a given form ID. This output can then feed into another tool, like calling `get_form_details`, so your agent builds a full picture. It's perfect for multi-step reasoning: first check performance, then inspect the structure that caused it.

Process and retrieve Typeform submissions.

To get user data, call `get_form_responses` with a form ID. This pulls raw submission records. The results can immediately be passed to another tool in the chain—maybe writing them to a database or transforming them into JSON format. This makes LangChain an ideal choice for building pipelines where Form submissions are central.

Setup guide

Set up Typeform MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Typeform tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "typeform-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Typeform transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Typeform MCP in LangChain

LangChain treats the MCP Server as just another tool in its chain. You call a function, it gets output (like form data), and then your agent uses that output to decide what step comes next.

Yep. Call the `list_forms` tool. It returns a list of every form ID, which you can then feed into other tools for further inspection or processing.

Absolutely. Use `get_form_responses` to pull the submissions using a form ID. The resulting data is passed directly back into your chain for immediate use.

You run the `list_form_themes` tool. It provides available visual options, and LangChain can incorporate this metadata into a larger document or decision-making process.

This MCP Server deals specifically with form submission records. The sensitive data type you're dealing with is user response data, which must be handled securely within your chains.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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