Formbricks MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Create Survey, Delete Survey, Get Person, and more
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.
Ask AI about this App Connector for LlamaIndex
The Formbricks app connector for LlamaIndex is a standout in the Customer Support category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 10 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 environment to any AI agent and simplify your feedback collection and survey management through natural conversation.
LlamaIndex agents combine Formbricks tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
What you can do
- Survey Control — List all surveys, check their status, and create or delete survey structures programmatically
- Response Management — Query results for any survey to analyze user feedback and submission data
- People Insights — List identified contacts and retrieve their metadata and custom attributes
- Workflow Monitoring — Inspect configured webhooks and action classes to understand your data flow
The Formbricks MCP Server exposes 10 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.
All 10 Formbricks tools available for LlamaIndex
When LlamaIndex connects to Formbricks through Vinkius, your AI agent gets direct access to every tool listed below — spanning user-feedback, experience-management, survey-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new survey
Delete a survey
Get details for a specific person
Get details for a specific response
Get details for a specific survey
List action classes
List identified people
Optionally filter by a specific survey ID. List survey responses
List all surveys
List configured webhooks
Connect Formbricks to LlamaIndex via MCP
Follow these steps to wire Formbricks into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
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
Example Prompts for Formbricks in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Formbricks immediately.
"List all surveys in Formbricks."
"Show me responses for the NPS survey."
"Get metadata for person 'user_555'."
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.