How to Use the Formbricks MCP in LlamaIndex

Q: Can LlamaIndex query specific Formbricks surveys?

It calls getsurvey to pull the exact questions and configuration. Then it stores that structure so you can run semantic searches against your survey design.

Q: Does LlamaIndex automatically sync new Formbricks responses?

You need to schedule the agent to run listresponses periodically. Once fetched, the new feedback gets embedded and added to your existing vector store.

Q: Can the agent create new surveys?

Yes. You can prompt the system to execute createsurvey based on missing information in your knowledge base.

Index user feedback from the Formbricks MCP Server directly into LlamaIndex to build a searchable knowledge base.

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Connect Formbricks MCP to LlamaIndex

Create your Vinkius account to connect Formbricks to LlamaIndex 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 Formbricks with LlamaIndex

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Index Survey Responses

LlamaIndex tools use `list_responses` and `get_response` to ingest raw customer feedback into your vector store. You stop guessing what users want and start querying actual submitted text. Your RAG application pulls this data alongside product documentation. When someone asks why a feature fails, the system retrieves recent complaints from `get_survey` and provides answers grounded in reality, not hallucinations.

Map User Behavior in LlamaIndex

Build a semantic graph of your user base by executing `list_people` and `get_person`. The agent indexes who your users are and exactly what they do inside your application. This feeds directly into your search logic. You combine these profiles with `list_action_classes` to understand the paths people take before leaving negative feedback.

Manage Feedback Infrastructure

Your FunctionAgent can audit your active surveys by running `list_surveys` and checking the active triggers via `list_webhooks`. It keeps your RAG system aware of what questions you are currently asking users. If a survey becomes outdated, the agent can call `delete_survey` to clean up the environment. You maintain an accurate, live index of your customer support operations without manual intervention.

Setup guide

Set up Formbricks MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Formbricks MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Formbricks tools.",
)
response = await agent.run("List recent Formbricks data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Formbricks. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Formbricks MCP in LlamaIndex

Install llama-index-tools-mcp and initialize a BasicMCPClient. Wrap it in McpToolSpec and call to_tool_list_async() to get your tools ready for the MCP Server.

It calls get_survey to pull the exact questions and configuration. Then it stores that structure so you can run semantic searches against your survey design.

You need to schedule the agent to run list_responses periodically. Once fetched, the new feedback gets embedded and added to your existing vector store.

Yes. You can prompt the system to execute create_survey based on missing information in your knowledge base.

The connection relies on a single endpoint token managed by Vinkius. Your get_response payloads travel through an isolated, zero-trust sandbox that leaves no persistent trace once the data is indexed.

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