Ometria Intelligence MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Ometria Intelligence through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
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({
"ometria-intelligence": {
"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 Ometria Intelligence, 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 Ometria Intelligence MCP Server
Connect your Ometria account to your AI agent and gain deep visibility into your customer life cycle and retail marketing performance through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Ometria Intelligence 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
- Customer Oversight — List and inspect customer profiles, including their attributes, segments, and lifetime value.
- Order Tracking — Access recent customer orders and transactions, including full metadata and status updates.
- Product Intelligence — View your entire product catalog and check specific item metadata and stock statuses.
- Segment Analysis — List audience segments defined in Ometria and retrieve member counts for targeting.
- Campaign Performance — Monitor email and automation campaigns and fetch real-time engagement statistics.
- Transactional Monitoring — View recent customer interactions and goal completions across your marketing funnel.
- Deep Inspection — Fetch complete metadata for specific contacts, orders, or campaigns using their unique IDs.
The Ometria Intelligence 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 Ometria Intelligence to LangChain via MCP
Follow these steps to integrate the Ometria Intelligence 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 Ometria Intelligence via MCP
Why Use LangChain with the Ometria Intelligence MCP Server
LangChain provides unique advantages when paired with Ometria Intelligence through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Ometria Intelligence 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 Ometria Intelligence queries for multi-turn workflows
Ometria Intelligence + LangChain Use Cases
Practical scenarios where LangChain combined with the Ometria Intelligence MCP Server delivers measurable value.
RAG with live data: combine Ometria Intelligence tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Ometria Intelligence, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Ometria Intelligence tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Ometria Intelligence tool call, measure latency, and optimize your agent's performance
Ometria Intelligence MCP Tools for LangChain (10)
These 10 tools become available when you connect Ometria Intelligence to LangChain via MCP:
get_campaign_stats
Get campaign performance stats
get_contact_details
Get specific contact info
get_order_details
Get specific order details
get_product_details
Get specific product info
get_segment_details
Get specific segment info
list_catalog_products
List product catalog
list_contacts
List customer contacts
list_customer_segments
List customer segments
list_marketing_campaigns
List marketing campaigns
list_orders
List customer orders
Example Prompts for Ometria Intelligence in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Ometria Intelligence immediately.
"List all active marketing campaigns."
"What is the status of order ID 'ord_98765'?"
"Show me the details for the 'High LTV' segment."
Troubleshooting Ometria Intelligence MCP Server with LangChain
Common issues when connecting Ometria Intelligence to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOmetria Intelligence + LangChain FAQ
Common questions about integrating Ometria Intelligence 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 Ometria Intelligence 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 Ometria Intelligence to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.