Formbricks MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Formbricks 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"formbricks": {
"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 Formbricks, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Formbricks MCP Server
Connect your Formbricks account to any AI agent to automate your survey management and customer experience workflows through the Model Context Protocol (MCP). Formbricks is the open-source alternative to Typeform and Qualtrics, designed to help you capture feedback at every stage of the user journey. This MCP server enables you to manage your surveys, retrieve responses, and organize contacts directly through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Formbricks through native MCP adapters. Connect 12 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.
Key Features
- Survey Control — List all surveys in your environment, fetch detailed question metadata, and create or update surveys instantly.
- Feedback Management — Retrieve real-time survey responses and fetch specific details for individual submissions to understand user sentiment.
- Contact Oversight — Access your CRM contacts (People), search for specific members, and retrieve complete metadata profiles.
- Categorization — List and manage organization tags to keep your surveys and feedback loops well-organized.
- System Metadata — Fetch environment and product information to maintain full context of your Formbricks setup.
- Operational Efficiency — Delete surveys or update statuses (draft/published) directly through simple AI commands.
The Formbricks MCP Server exposes 12 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 Formbricks to LangChain via MCP
Follow these steps to integrate the Formbricks 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 12 tools from Formbricks via MCP
Why Use LangChain with the Formbricks MCP Server
LangChain provides unique advantages when paired with Formbricks through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Formbricks 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 Formbricks queries for multi-turn workflows
Formbricks + LangChain Use Cases
Practical scenarios where LangChain combined with the Formbricks MCP Server delivers measurable value.
RAG with live data: combine Formbricks tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Formbricks, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Formbricks tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Formbricks tool call, measure latency, and optimize your agent's performance
Formbricks MCP Tools for LangChain (12)
These 12 tools become available when you connect Formbricks to LangChain via MCP:
create_survey
Create a new survey
delete_survey
Remove a survey
get_contact_details
Get contact metadata
get_environment_info
Get environment details
get_product_info
Get product details
get_response
Get response details
get_survey
Get survey details
list_contacts
List CRM contacts
list_responses
List survey responses
list_surveys
List all surveys
list_tags
List organization tags
update_survey
Update survey settings
Example Prompts for Formbricks in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Formbricks immediately.
"List all active surveys in my Formbricks account."
"Show me the last 5 responses for survey ID 'sur_abc123'."
"Find the contact profile for 'john.doe@example.com'."
Troubleshooting Formbricks MCP Server with LangChain
Common issues when connecting Formbricks to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFormbricks + LangChain FAQ
Common questions about integrating Formbricks MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Formbricks with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Formbricks to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
