MCP + Materialize: Build and query with AI

Connect AI apps and agents through the Model Context Protocol for AI-native data access, development, and operations.

Use cases

From copilots to autonomous agents

Materialize exposes data and operations over MCP, so you can use AI across the lifecycle from development to production.

Power agents with live data

Give agents direct access to live data. Query business metrics, customer data, and operational state without building custom APIs.

Code with AI dev tools

Use Claude Code or similar tools to build on Materialize. Write SQL, create data products, and manage infrastructure through natural language.

Optimize query performance

Chat with AI to understand performance. Get recommendations, identify bottlenecks, and optimize resource usage across clusters.

Three-step process

How Materialize integrates with MCP

Install the Materialize MCP server and connect any compatible AI application, including assistants, development tools, and autonomous agents.

Capabilities

Key capabilities

Data

Query and manage data products

Schemas
Views
Queries

Infrastructure

Manage clusters, sources, and connections

Clusters
Sources
Connections

Performance

Monitor performance and system health

Indexes
Freshness
Diagnostics

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