How to Use the Formbricks MCP in LlamaIndex

Build a knowledge base from your Formbricks data and query it with LlamaIndex.

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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 Your Survey Feedback

This server lets LlamaIndex do more than just call an API; it can read the output from Formbricks and index it. Run `list_surveys` and `list_responses`, and the results become part of a searchable knowledge base for your agent. Now you can ask questions in natural language, like "what are the main complaints from the last user survey?" Your agent queries the indexed data from `get_response` and gives you a grounded answer, not a guess.

Augment Queries with Live Data

Your RAG application gets a direct line to live customer feedback. LlamaIndex can be configured to use these tools to answer a query. If a user asks about product sentiment, the agent can decide to call `list_responses` for the latest data before answering. This means your answers are always fresh. Instead of relying on a static export, your agent can combine its existing knowledge with real-time feedback pulled directly from your Formbricks account via this MCP server.

Enrich Your Knowledge Base

Before indexing, your agent can gather context. It can use `get_product_info` and `get_environment_info` to tag the indexed data correctly. This keeps your knowledge base organized and prevents data from different products from getting mixed up. It can also use tools like `get_contact_details` to enrich the response data. When you index a response, you can pull in the associated contact's metadata, giving you more context for your queries later on.

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.

Why Choose Vinkius

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Common questions about Formbricks MCP in LlamaIndex

You connect the Formbricks MCP server using the McpToolSpec. LlamaIndex will treat tools like `list_responses` as a data source. When you run a query, the agent can call that tool and index the results to find the answer.

Yes. You provide the Formbricks tools to your LlamaIndex agent. It will use them to retrieve live survey and response data to augment its knowledge base when answering user questions.

The LlamaIndex tool spec lets you filter which tools the agent can use. If you only want it to read data, you can provide it with a list that excludes `create_survey`, `update_survey`, and `delete_survey`.

Because this is live. Exporting gets you a static snapshot. This MCP server lets your LlamaIndex agent query real-time data from Formbricks on demand, so your answers are never stale.

The connection to your Formbricks account is managed by the secure MCP server. LlamaIndex receives the data—like survey responses and contact details—to build its index in your own environment. You control the indexed data; we just provide the secure pipe.

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