Formbricks MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Formbricks as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Formbricks. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Formbricks?"
)
print(response)
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.
LlamaIndex agents combine Formbricks tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Formbricks MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from Formbricks
Why Use LlamaIndex with the Formbricks MCP Server
LlamaIndex provides unique advantages when paired with Formbricks through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Formbricks tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Formbricks tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Formbricks, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Formbricks tools were called, what data was returned, and how it influenced the final answer
Formbricks + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Formbricks MCP Server delivers measurable value.
Hybrid search: combine Formbricks real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Formbricks to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Formbricks for fresh data
Analytical workflows: chain Formbricks queries with LlamaIndex's data connectors to build multi-source analytical reports
Formbricks MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Formbricks to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Formbricks to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFormbricks + LlamaIndex FAQ
Common questions about integrating Formbricks MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.