Typeform MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Create Webhook, Get Form Details, Get Workspace Details, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Typeform 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 Typeform app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 8 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 Typeform. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Typeform?"
)
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 Typeform MCP Server
Connect your Typeform account to any AI agent and simplify how you collect data, manage surveys, and analyze user responses through natural conversation.
LlamaIndex agents combine Typeform tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Form Management — List all forms across your account and retrieve detailed field structures and logic.
- Response Analysis — List and export individual submissions with filtering by date and completion status.
- Workspace Oversight — Manage workspaces to keep your forms and surveys organized by project or team.
- Real-time Monitoring — Create and manage webhooks to receive instant notifications for new form submissions.
- Design Control — List available themes to ensure consistent branding across your surveys.
- Integration Maintenance — Verify account configurations and regional settings directly from the agent.
The Typeform MCP Server exposes 8 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 8 Typeform tools available for LlamaIndex
When LlamaIndex connects to Typeform through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-collection, user-feedback, lead-generation, 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.
Requires a unique tag and a destination URL. Create or update a form webhook
Essential for understanding the questions asked in a form. Get details and structure for a specific form
Get details and forms for a workspace
List all available design themes
Useful for obtaining form IDs for response retrieval. List all Typeforms in the account
Supports filtering by date (since) and completion status. List all collected responses for a form
Webhooks are used to receive real-time alerts when a form is submitted. List all webhooks for a specific form
Workspaces are used to organize collections of forms. List all Typeform workspaces
Connect Typeform to LlamaIndex via MCP
Follow these steps to wire Typeform 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 Typeform MCP Server
LlamaIndex provides unique advantages when paired with Typeform through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Typeform tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Typeform tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Typeform, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Typeform tools were called, what data was returned, and how it influenced the final answer
Typeform + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Typeform MCP Server delivers measurable value.
Hybrid search: combine Typeform real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Typeform 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 Typeform for fresh data
Analytical workflows: chain Typeform queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Typeform in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Typeform immediately.
"List all active forms in my Typeform account."
"Show me the last 5 responses for the 'Customer Satisfaction' form."
"List all forms in the 'Marketing Campaign' workspace (ID: 10293)."
Troubleshooting Typeform MCP Server with LlamaIndex
Common issues when connecting Typeform to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTypeform + LlamaIndex FAQ
Common questions about integrating Typeform MCP Server with LlamaIndex.