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.
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.
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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.
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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.
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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.
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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.
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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.
Instaclustr for Model Context Protocol (MCP) Gateway is a fully managed gateway that connects your AI...
How it works
Provision Gateway
Attach Backends
Define Tools
Create Personas
Connect LLM
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.
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
FAQs
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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.
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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.
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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.
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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.
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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.
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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.
