MCP For Claude Marketplace
Materialize (Streaming SQL DB)

Materialize (Streaming SQL DB) MCP Connector for Claude

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Execute streaming SQL, manage compute clusters, and monitor real-time data pipelines directly from your AI agent.

4 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Materialize instance to any AI agent to manage your streaming database through natural language. Materialize allows you to maintain results of complex queries over rapidly changing data in real-time using standard SQL.

What you can do

  • Streaming SQL Execution — Run standard SQL or Materialize-specific commands like CREATE SOURCE, CREATE MATERIALIZED VIEW, and SUBSCRIBE to handle live data feeds.
  • Cluster Management — List all available compute clusters or provision new ones with specific sizes (xs, s, m, l, xl) to scale your processing power.
  • Health Monitoring — Instantly check the operational status and health of your Materialize instance to ensure your pipelines are running smoothly.
  • Resource Inspection — Retrieve metadata about your compute environment to optimize resource allocation for your streaming workloads.

How it works

  1. Subscribe to this server
  2. Enter your Materialize API Key
  3. Start managing your streaming infrastructure from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Data Engineers — deploy and modify materialized views or sources without leaving the terminal or IDE.
  • Analytics Engineers — verify the health of real-time pipelines and inspect compute clusters during development.
  • DevOps Teams — automate the scaling of compute resources and monitor instance availability through simple conversation.
streaming-sqlreal-time-datamaterialized-viewsdata-engineeringcloud-database

4 tools expose this connector's capabilities to your AI agent.

create_cluster

g., xs, s, m, l, xl). Create a new compute cluster

execute_sql

Execute one or more SQL statements

check_health

Check the health of the Materialize instance

list_clusters

List all compute clusters

See how to talk to your AI agent using Materialize (Streaming SQL DB).

Check the health status of my Materialize instance.

I've checked the instance health. The Materialize instance is currently healthy and operational.

List all the compute clusters I have configured.

I found 2 compute clusters: 'analytics-cluster' (size: m) and 'default' (size: xs).

Execute SQL to create a new source from my Kafka topic 'orders'.

The SQL statement to create the source 'orders' has been executed successfully. Materialize is now ingesting data from that Kafka topic.

Yes. You can use the `execute_sql` tool to run any valid Materialize SQL command, including `CREATE MATERIALIZED VIEW` to start processing your data streams in real-time.

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