# Give AI agents a reliable path to your data Give AI agents a reliable path to your data ============================================= Your AI systems can only perform as well as the data they can reach. Instaclustr for MCP Gateway is a fully managed, enterprise-grade access layer that connects your AI agents to the data infrastructure they need, securely and at scale. [Get started with MCP Gateway](/contact-us/) [Book free consultation](/pricing/) ![texture graphic](/wp-content/uploads/img-hero.png) THE PROBLEM WITH custom integrations -------------------------------------- Every time your team connects a new AI agent to a data source, someone builds a custom connector. Then another. Then another. Over time, those one-off integrations become technical debt that’s hard to maintain, harder to scale, and nearly impossible to govern consistently. When your AI agents can’t access data reliably, they behave unpredictably. Incomplete context leads to poor outputs. And your engineers spend more time maintaining infrastructure than building AI capabilities. There’s a better way. Meet Instaclustr forfor Model Context Protocol ---------------------------------------------- **One gateway. Every data source. Full control.** Instaclustr for MCP Gateway replaces fragmented point-to-point integrations with a single, standardized access layer built on the Model Context Protocol (MCP) open standard. Your AI agents connect once, through a governed, observable, and production-ready interface, and your data infrastructure does the rest. [Download datasheet ](https://www.instaclustr.com/wp-content/uploads/Insta_Datasheet_Instaclustr_for_MCP_Gateway_1_17jun26.pdf) - Simplified connectivity across your data stack + Replace dozens of custom connectors with a single gateway. Any MCP-compatible AI agent, tool, or application can connect to your managed data services through one standardized interface. Adding a new data source becomes a configuration task, not an engineering project. - Centralized governance and access control + Define access policies, permissions, and data-handling rules in one place. Every request is authenticated, logged, and subject to your governance controls. You decide exactly what each agent can and can’t do, protecting your clusters from unintended changes. - Faster time to value + Stop spending weeks on integration work. Teams can move from AI prototype to production in days, with data access that’s already secure, observable, and production-ready from day one. - Built on the Instaclustr managed platform + MCP Gateway runs on the same platform organizations already rely on for Apache Kafka, OpenSearch, PostgreSQL, Cassandra, ClickHouse, and more. That means you get the same 99.9% availability SLA, 24/7 expert support, and SOC 2 compliance, extended now to your AI data access layer. - Deployable on your cloud of choice + Deploy on AWS, Microsoft Azure, or Google Cloud Platform. Use the Instaclustr console, Terraform, or API to get up and running quickly, without standing up separate infrastructure or managing additional vendors. ![Microsoft Azure](/wp-content/uploads/ico-cloud-azure.svg)![Amazon Web Services](/wp-content/uploads/ico-cloud-aws.svg)![Google Cloud](/wp-content/uploads/ico-cloud-google.svg) Downloaddatasheet ![https://www.instaclustr.com/wp-content/uploads/down-arrow-download.svg]() Instaclustr for Model Context Protocol (MCP) Gateway is a fully managed gateway that connects your AI... [Download](https://www.instaclustr.com/wp-content/uploads/Insta_Datasheet_Instaclustr_for_MCP_Gateway_1_17jun26.pdf) How it works -------------- ![]()**Provision Gateway** Deploy MCP Gateway on Instaclustr via Console, Terraform, or API ![]()**Attach Backends** Select Instaclustr clusters, import OpenAPI specs, connect Kafka topics ![]()**Define Tools** Create parameterized queries, topic operations, workflow triggers from templates ![]()**Create Personas** Set up RBAC — Customer Support sees View Orders + View Customers only ![]()**Connect LLM** Use one endpoint + OAuth — ask questions in plain language From Gateway to Generation: Scale Your AI ----------------------------------------- The MCP Gateway opens the door to your secure data—NetApp Instaclustr for RAG builds the house. Move past the proof-of-concept phase with a production-ready, fully managed RAG architecture. We handle the complex data infrastructure, vector databases, and integrations so your team can focus on building highly accurate, context-aware AI applications. [ Build Your RAG Architecture ](https://www.instaclustr.com/platform/netapp-instaclustr-for-rag/) Build reliable AI on infrastructure you can trust ------------------------------------------------- The gap between AI potential and AI performance often comes down to data access. Teams that standardize on a governed, managed access layer build better AI systems faster, and spend less time maintaining the plumbing underneath them. Instaclustr for MCP Gateway gives you that foundation, backed by the same managed platform your team already relies on. [Get started with MCP Gateway](/contact-us/) #### See the advantages of fully managed MCP: - **OAuth 2.0 and OIDC authentication** with SCIM provisioning for agent and persona endpoints - **Configurable access controls** with human- and LLM-readable tool descriptions - **Error checks** to protect your backend clusters and APIs from unintended operations - **Audit logging** available on the Instaclustr console or shipped to your logging solution - **Integrated monitoring and alerting** through the Instaclustr monitoring pipeline - **24/7 expert support** with production SLAs and up to 99.9% availability - **SOC 2 compliance** for the managed platform - **Terraform support** for infrastructure-as-code deployment Recommended resources ----------------------- [ Blog NetApp Instaclustr for MCP Gateway Is Here: Smarter AI Data Access Starts Now What is MCP Gateway? Learn how NetApp Instaclustr provides a managed MCP Gateway that acts as a secure AI data access layer for... ](https://www.instaclustr.com/blog/netapp-instaclustr-for-mcp-gateway-is-here-smarter-ai-data-access-starts-now/) [ Blog MCP Gateway tutorial: Connect an AI Agent to Apache Kafka and HTTP server backends Step-by-step MCP Gateway tutorial showing how to connect an AI agent to Apache Kafka and HTTP server backends through the NetApp... ](https://www.instaclustr.com/blog/mcp-gateway-tutorial-connect-an-ai-agent-to-apache-kafka-and-http-server-backends/) FAQs ---- - What is the Model Context Protocol (MCP)? + MCP is an open standard, originally developed by Anthropic, that defines how AI applications and agents connect to external tools, data sources, and services. It provides a consistent interface so any MCP-compatible AI system can interact with MCP-enabled infrastructure without requiring custom integration work for each connection. - Which data technologies does MCP Gateway support? + The initial launch supports Instaclustr for Apache Kafka and REST APIs. Support for OpenSearch, Cassandra, PostgreSQL, ClickHouse, and Cadence is coming in the months ahead. If you need a specific capability sooner, contact your Instaclustr account team. - How does MCP Gateway handle security? + The gateway applies centralized authentication, authorization, and access policies to every request. You define governance rules once, and they’re enforced consistently across all connected AI applications and data sources. You can also define parametrized tool permissions to prevent agents from performing operations outside their defined scope. - Is MCP Gateway fully managed? + Yes. Like all Instaclustr products, MCP Gateway is fully managed. Instaclustr handles provisioning, scaling, monitoring, and operational maintenance so your team can focus on building AI capabilities, not managing infrastructure. - Which cloud providers does Instaclustr support? + Instaclustr’s managed platform runs on AWS, Microsoft Azure, and Google Cloud Platform. You can deploy MCP Gateway on whichever cloud environment your organization uses. - What AI frameworks and tools are compatible? + Any AI application **such as Cursor, Claude Code, Codex, WindSurf, Antigravity and many more** or agent that supports the MCP standard can connect to the gateway. This includes a growing ecosystem of LLM frameworks, agent runtimes, and AI development tools that have adopted MCP as their standard for tool and data access.