Ometria Intelligence 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 Ometria Intelligence 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 Ometria Intelligence. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Ometria Intelligence?"
)
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 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.
LlamaIndex agents combine Ometria Intelligence 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
- 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 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 Ometria Intelligence to LlamaIndex via MCP
Follow these steps to integrate the Ometria Intelligence 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 Ometria Intelligence
Why Use LlamaIndex with the Ometria Intelligence MCP Server
LlamaIndex provides unique advantages when paired with Ometria Intelligence through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Ometria Intelligence tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Ometria Intelligence tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Ometria Intelligence, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Ometria Intelligence tools were called, what data was returned, and how it influenced the final answer
Ometria Intelligence + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Ometria Intelligence MCP Server delivers measurable value.
Hybrid search: combine Ometria Intelligence real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Ometria Intelligence 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 Ometria Intelligence for fresh data
Analytical workflows: chain Ometria Intelligence queries with LlamaIndex's data connectors to build multi-source analytical reports
Ometria Intelligence MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Ometria Intelligence to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Ometria Intelligence to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOmetria Intelligence + LlamaIndex FAQ
Common questions about integrating Ometria Intelligence 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 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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.