Ortto (formerly Autopilot) 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 Ortto (formerly Autopilot) 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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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 Ortto (formerly Autopilot). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Ortto (formerly Autopilot)?"
)
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 Ortto (formerly Autopilot) MCP Server
Connect your Ortto account to any AI agent and unify your customer data and marketing automation workflows through natural conversation.
LlamaIndex agents combine Ortto (formerly Autopilot) 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
- Unified Profiles — Create, update, and search for person and organizational account records across your CDP
- Activity Orchestration — Programmatically trigger custom activities to engage users based on real-time events
- Campaign Auditing — List audience segments and retrieve performance metrics for your marketing campaigns and journeys
- Regional Compliance — Native support for Global, AU, and EU data centers to ensure your data stays where it belongs
The Ortto (formerly Autopilot) 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 Ortto (formerly Autopilot) to LlamaIndex via MCP
Follow these steps to integrate the Ortto (formerly Autopilot) 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 Ortto (formerly Autopilot)
Why Use LlamaIndex with the Ortto (formerly Autopilot) MCP Server
LlamaIndex provides unique advantages when paired with Ortto (formerly Autopilot) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Ortto (formerly Autopilot) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Ortto (formerly Autopilot) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Ortto (formerly Autopilot), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Ortto (formerly Autopilot) tools were called, what data was returned, and how it influenced the final answer
Ortto (formerly Autopilot) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Ortto (formerly Autopilot) MCP Server delivers measurable value.
Hybrid search: combine Ortto (formerly Autopilot) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Ortto (formerly Autopilot) 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 Ortto (formerly Autopilot) for fresh data
Analytical workflows: chain Ortto (formerly Autopilot) queries with LlamaIndex's data connectors to build multi-source analytical reports
Ortto (formerly Autopilot) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Ortto (formerly Autopilot) to LlamaIndex via MCP:
create_activity
Create a custom activity for a person
create_person
Add a new person to Ortto
delete_person
Permanently archive/delete a person
get_person
Get details for a specific person
get_subscription
Get subscription status for an email
list_accounts
List accounts/organizations in Ortto
list_audiences
List audience segments
list_campaigns
List marketing campaigns
list_people
List people in Ortto
update_person
Update an existing person
Example Prompts for Ortto (formerly Autopilot) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Ortto (formerly Autopilot) immediately.
"Find the person profile for '[email protected]'."
"List all active marketing campaigns in our EU region."
"Trigger the 'product-demo-requested' activity for [email protected]"
Troubleshooting Ortto (formerly Autopilot) MCP Server with LlamaIndex
Common issues when connecting Ortto (formerly Autopilot) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOrtto (formerly Autopilot) + LlamaIndex FAQ
Common questions about integrating Ortto (formerly Autopilot) 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 Ortto (formerly Autopilot) 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 Ortto (formerly Autopilot) to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.