MCP Gateways
The Secure Bridge Between Agents and Capabilities
Virtual MCP endpoints that connect any MCP-compatible client to agent capabilities. API key and OAuth authentication, selective capability exposure, and agent discovery via A2A protocol.
The Universal Agent Interface
What is an MCP Gateway?
An MCP gateway is a managed endpoint between AI agents and their tools: one URL that exposes your chosen capabilities over the Model Context Protocol, with authentication, access control, and auditing built in.
Think of it as a smart router that not only connects agents to capabilities but also ensures every interaction is secure, logged, and compliant with your organization's policies. New to the concept? Read the MCP gateway concept guide or follow the gateway setup guide to create one in minutes.
Standardizes
How agents interact with tools and services through a consistent protocol
Secures
Every interaction with authentication, authorization, and encryption
Observes
All operations for monitoring, debugging, and analytics
Governs
Access with fine-grained policies and compliance controls
Scales
From development to enterprise production seamlessly
Gateway Features
Enterprise-Grade Infrastructure
Built-in capabilities that make MCP Gateways the foundation for production AI applications
Security & Access Control
API key and OAuth authentication, role-based access controls, token management, and rate limiting per agent.
Complete Observability
Real-time request monitoring, detailed audit logs, performance metrics, error tracking, usage analytics, and cost attribution.
Governance & Compliance
Unified policy enforcement, automation budgets, compliance logging, and selective capability exposure per gateway.
Performance & Reliability
Intelligent request routing, response caching, automatic retries, circuit breakers, load balancing, and failover handling.
Multi-Tenant Architecture
Separate namespaces per organization, resource isolation and quotas, custom policies per tenant, and independent scaling.
Configuration as Code
Version-controlled gateway settings, declarative policy definitions, automated deployment pipelines, and infrastructure as code.
One Protocol, Endless Possibilities
How MCP Gateways Work
Step-by-step flow of agent requests through the gateway
Agent Makes Request
Agent sends MCP-formatted request with context, parameters, and intent to the gateway endpoint.
Gateway Authentication
Validates agent credentials, checks permissions and quotas, applies rate limits and security policies.
Request Routing
Determines target (capability/plugin/proxy), applies transformations if needed, adds security headers.
Execution & Monitoring
Routes to appropriate service, monitors execution in real-time, captures performance metrics.
Response Handling
Formats response for agent, applies output filters and policies, logs complete audit trail.
Integration Options
How AI Agents Connect to Gateways
Multiple integration patterns to connect your AI agents to the MCP Gateway
Native MCP protocol support with SDKs for popular frameworks. WebSocket or HTTP/2 connections for real-time communication.
Pre-integrated with Claude, GPT, and other popular AI platforms. Automatic agent detection and platform-specific optimizations.
Private deployment options, VPN and private link support, custom authentication providers, and dedicated support.
Platform Benefits
Why Choose MCP Gateways
No more managing multiple APIs, SDKs, or protocols. One gateway handles everything.
Enterprise-grade security built into every interaction, with full audit trails.
From prototype to production, our gateways scale automatically with your needs.
Clean APIs, comprehensive docs, and tools that make integration effortless.
FAQs
Frequently Asked Questions
Everything you need to know about MCP gateways
What is an MCP gateway?
An MCP gateway is a managed endpoint that sits between AI agents (MCP clients) and the tools they use. Instead of connecting an agent to many separate servers, you connect it to one gateway URL that exposes selected capabilities over the Model Context Protocol — with authentication, access control, and logging handled centrally.
How is an MCP gateway different from an MCP server?
An MCP server exposes one set of tools. An MCP gateway aggregates many tool sources — built-in capabilities, plugins, and connectors — behind a single authenticated endpoint, adding selective exposure, rate limiting, and audit trails that individual servers do not provide.
Which MCP clients can connect to a Noorle gateway?
Any MCP-compatible client: Claude Desktop, Claude Code, Cursor, Continue.dev, Cline, and custom agents built with MCP SDKs. Clients authenticate with an API key or OAuth and connect over standard MCP transports.
Do I need to host anything to run an MCP gateway?
No. Noorle gateways are fully managed. You create a gateway in the console, attach capabilities, and connect your client to the generated endpoint URL — typically in about five minutes, with no servers to deploy or maintain.
How does an MCP gateway keep agent access secure?
Each gateway enforces API key or OAuth authentication, exposes only the capabilities you attach to it, applies rate limits, and logs every request for auditing. Credentials for connected services are encrypted at rest.
Ready to Connect Your Agents?
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