Bring Data Exploration
to LlamaIndex
Learn how to connect Omni BI Intelligence to LlamaIndex and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the Omni BI Intelligence MCP Server?
Connect your Omni BI (omni.co) account to your AI agent and gain deep insights into your organization's data through natural conversation and programmatic query execution.
What you can do
- Dashboard Oversight — List all available BI dashboards and retrieve detailed layout and component metadata.
- Data Model Intelligence — Access the semantic layer to list models and inspect specific field definitions and logic.
- Programmatic Queries — Execute custom queries against your data models directly from the chat and view results.
- Resource Management — Browse workspaces, folders, and projects to stay organized within your BI instance.
- Connection Monitoring — List all connected databases and data sources integrated with Omni.
- Data Export — Generate temporary export links for query results in CSV, JSON, or Excel formats.
- Deep Inspection — Fetch complete metadata for specific fields, dashboards, or data models using their unique IDs.
How it works
1. Subscribe to this server
2. Enter your Omni BI Instance URL and API Key (Bearer Token)
3. Start exploring your business intelligence from Claude, Cursor, or any MCP client
Who is this for?
- Data Analysts — quickly check model field logic or run ad-hoc queries without opening the UI.
- Business Leads — monitor key dashboard metrics and organization workspaces through natural language.
- Operations Teams — automate the retrieval of data exports and model metadata for reporting.
Built-in capabilities (10)
Export data to file
Get specific dashboard info
Get specific field info
Get data model metadata
List organization workspaces
List BI dashboards
List database connections
List Omni data models
List dashboard folders
Run programmatic query
Why LlamaIndex?
LlamaIndex agents combine Omni BI 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.
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Data-first architecture: LlamaIndex agents combine Omni BI Intelligence tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Omni BI Intelligence tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Omni BI Intelligence, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Omni BI Intelligence tools were called, what data was returned, and how it influenced the final answer
Omni BI Intelligence in LlamaIndex
Omni BI Intelligence and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Omni BI Intelligence to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Omni BI Intelligence in LlamaIndex
The Omni BI Intelligence 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Omni BI Intelligence for LlamaIndex
Every tool call from LlamaIndex to the Omni BI Intelligence MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I get an Omni BI API Key?
Log in to your Omni instance, navigate to user settings or organization settings, and look for the API Tokens section to generate a new token.
Can I run raw SQL queries?
This implementation uses the run_omni_query tool which interacts with your defined data models (semantic layer). Raw SQL access depends on your specific model configuration in Omni.
What formats are supported for data export?
The export_query_results tool supports CSV, JSON, and XLSX formats. You will receive a temporary URL to download the requested file.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Omni BI Intelligence tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
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Install: pip install llama-index-tools-mcp