Enterprise-grade MCP gateway for real-time AI

Spice connects and governs distributed Model Context Protocol (MCP) servers over SSE - scaling and securing data-driven AI workflows.

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Do more with your data

Increase the reliability, performance, and security of data-driven AI workflows.

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faster queries

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cost savings on data lakehouse spend

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increase in data reliability for critical workloads

Internal and federated MCP hosting

Run stdio-based tools locally for secure, low-latency decision-making, or federate to remote MCP servers over SSE.

Modular, distributed orchestration

Spice replaces centralized orchestration with a modular, federated model. Each MCP server communicates securely and asynchronously, improving performance and reliability across distributed systems.

Hybrid access for AI and data

Combine MCP tool results with federated SQL queries, embeddings, and search. Expose tools via MCP so other Spice instances or external systems can discover and securely invoke them at scale.

Governed routing to models

Dynamically assign tools to specific models with fine-grained access controls. Distributed tracing ensures full visibility into execution paths across MCP servers, models, and data sources.

Integrations across all your data sources

Accelerate your data stack with a library of 30+ prebuilt connectors for the most common databases, warehouses, and object stores—from Databricks and S3 to MySQL and PostgreSQL.

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Deployed in production

Teams trust Spice to bring inference closer to their data, enabling low-latency, enterprise-grade AI.

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Homepage_Logos_BasisSet
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"Partnering with Spice AI has transformed how NRC Health delivers AI-driven insights. By unifying siloed data across systems, we accelerated AI feature development, reducing time-to-market from months to weeks - and sometimes days. With predictable costs and faster innovation, Spice isn't just solving some of our data and AI challenges - it’s helping us redefine personalized healthcare.”

Tim Ottersburg

VP of Technology, NRC Health

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“Spice AI grounds AI in our actual data, using SQL queries across all our data. This brings accuracy to probabilistic AI systems, which are very prone to hallucinations.”

Rachel Wong

CTO, Basis Set

See Spice in action

Get a guided walkthrough of how development teams use Spice to query, accelerate, and integrate AI for mission-critical workloads.

Get a demo

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