Typebot MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Delete Typebot, Get Typebot Details, List Folders, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Typebot 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 Typebot app connector for LlamaIndex is a standout in the Productivity 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 Typebot. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Typebot?"
)
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 Typebot MCP Server
Connect your Typebot account to any AI agent and simplify how you build, manage, and analyze your conversational assistants through natural conversation.
LlamaIndex agents combine Typebot 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
- Bot Management — List all typebots across your workspaces and folders, and retrieve detailed metadata and flow structures.
- Deployment Control — Publish the latest bot changes to production instantly without leaving your agent.
- Result Analysis — List and export user submissions and conversation results to track leads and performance.
- Organization Oversight — Manage workspaces and folders to keep your conversational projects structured.
- Session Testing — Programmatically start new chat sessions to verify bot logic and user experiences.
The Typebot 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 Typebot tools available for LlamaIndex
When LlamaIndex connects to Typebot through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot-builder, conversational-forms, 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.
Permanently delete a typebot
Essential for reviewing the bot logic. Get details and structure for a specific typebot
Folders are used to group related typebots. List all folders in a workspace
Essential for data analysis and lead export. List collected user responses for a bot
Can be filtered by a specific workspace ID. List all conversational typebots
Workspaces contain folders and bots. List all accessible Typebot workspaces
Requires the unique bot ID. Publish and deploy the latest bot changes
Useful for testing bot flows or automated interactions. Programmatically start a new bot conversation
Connect Typebot to LlamaIndex via MCP
Follow these steps to wire Typebot 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 Typebot MCP Server
LlamaIndex provides unique advantages when paired with Typebot through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Typebot tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Typebot tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Typebot, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Typebot tools were called, what data was returned, and how it influenced the final answer
Typebot + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Typebot MCP Server delivers measurable value.
Hybrid search: combine Typebot real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Typebot 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 Typebot for fresh data
Analytical workflows: chain Typebot queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Typebot in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Typebot immediately.
"List all typebots in my current workspace."
"Show me the collected results for the 'Lead Gen Flow' bot."
"Publish the latest changes for bot 'bot_10293'."
Troubleshooting Typebot MCP Server with LlamaIndex
Common issues when connecting Typebot to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTypebot + LlamaIndex FAQ
Common questions about integrating Typebot MCP Server with LlamaIndex.