Ontraport MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Ontraport 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 MCP SERVER
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 Ontraport. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Ontraport?"
)
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 Ontraport MCP Server
Connect your Ontraport account to any AI agent and take full control of your business automation workflows through natural conversation.
LlamaIndex agents combine Ontraport 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
- Contact Management — List, retrieve, and create contacts to maintain your CRM data effortlessly.
- Campaign & Sequence Tracking — List marketing campaigns and automation sequences to oversee your customer journeys.
- Sales Monitoring — List transactions and track sales performance in real-time.
- Content Oversight — List landing pages, forms, and messages to maintain a bird's-eye view of your marketing assets.
- Task Management — List assigned tasks to stay on top of your team's operational needs.
The Ontraport 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.
How to Connect Ontraport to LlamaIndex via MCP
Follow these steps to integrate the Ontraport 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 10 tools from Ontraport
Why Use LlamaIndex with the Ontraport MCP Server
LlamaIndex provides unique advantages when paired with Ontraport through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Ontraport tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Ontraport tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Ontraport, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Ontraport tools were called, what data was returned, and how it influenced the final answer
Ontraport + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Ontraport MCP Server delivers measurable value.
Hybrid search: combine Ontraport real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Ontraport 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 Ontraport for fresh data
Analytical workflows: chain Ontraport queries with LlamaIndex's data connectors to build multi-source analytical reports
Ontraport MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Ontraport to LlamaIndex via MCP:
create_contact
Create a new contact
get_contact
Get details for a specific contact
list_campaigns
List marketing campaigns
list_contacts
List Ontraport contacts
list_forms
List lead capture forms
list_landing_pages
List Ontraport landing pages
list_messages
List email/SMS messages
list_sequences
List automation sequences
list_tasks
List assigned tasks
list_transactions
List sales transactions
Example Prompts for Ontraport in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Ontraport immediately.
"List the last 5 contacts added to my Ontraport account."
"Check the status of my active marketing campaigns."
"List all sales transactions from today."
Troubleshooting Ontraport MCP Server with LlamaIndex
Common issues when connecting Ontraport to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOntraport + LlamaIndex FAQ
Common questions about integrating Ontraport 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 Ontraport 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 Ontraport to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.