Ortto (formerly Autopilot) MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Ortto (formerly Autopilot) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"ortto-formerly-autopilot": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Ortto (formerly Autopilot), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Ortto (formerly Autopilot) through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Ortto (formerly Autopilot) MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Ortto (formerly Autopilot) via MCP
Why Use LangChain with the Ortto (formerly Autopilot) MCP Server
LangChain provides unique advantages when paired with Ortto (formerly Autopilot) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Ortto (formerly Autopilot) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Ortto (formerly Autopilot) queries for multi-turn workflows
Ortto (formerly Autopilot) + LangChain Use Cases
Practical scenarios where LangChain combined with the Ortto (formerly Autopilot) MCP Server delivers measurable value.
RAG with live data: combine Ortto (formerly Autopilot) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Ortto (formerly Autopilot), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Ortto (formerly Autopilot) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Ortto (formerly Autopilot) tool call, measure latency, and optimize your agent's performance
Ortto (formerly Autopilot) MCP Tools for LangChain (10)
These 10 tools become available when you connect Ortto (formerly Autopilot) to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Ortto (formerly Autopilot) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOrtto (formerly Autopilot) + LangChain FAQ
Common questions about integrating Ortto (formerly Autopilot) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.