Compare the Top On-Premises MCP Gateways as of June 2026

What are On-Premises MCP Gateways?

MCP gateways act as secure intermediaries that connect AI models with external tools, data sources, and services using the Model Context Protocol (MCP). They manage authentication, permissions, and request routing to ensure controlled and reliable access to contextual data. The gateways standardize how models discover, invoke, and interact with tools across different environments. Many MCP gateways include monitoring, logging, and policy enforcement features to maintain security and compliance. By centralizing tool access and context delivery, MCP gateways enable scalable, interoperable, and safer AI integrations. Compare and read user reviews of the best On-Premises MCP Gateways currently available using the table below. This list is updated regularly.

  • 1
    Azure API Management
    Manage APIs across clouds and on-premises: In addition to Azure, deploy the API gateways side-by-side with the APIs hosted in other clouds and on-premises to optimize API traffic flow. Meet security and compliance requirements while enjoying a unified management experience and full observability across all internal and external APIs. Move faster with unified API management: Today's innovative enterprises are adopting API architectures to accelerate growth. Streamline your work across hybrid and multi-cloud environments with a single place for managing all your APIs. Help protect your resources: Selectively expose data and services to employees, partners, and customers by applying authentication, authorization, and usage limits.
  • 2
    DeployStack

    DeployStack

    DeployStack

    DeployStack is an enterprise-focused Model Context Protocol (MCP) management platform designed to centralize, secure, and optimize how teams use and govern MCP servers and AI tools across organizations. It provides a single dashboard to manage all MCP servers with centralized credential vaulting, eliminating scattered API keys and manual local config files, while enforcing role-based access control, OAuth2 authentication, and bank-level encryption for secure enterprise usage. It offers usage analytics and observability, giving real-time insights into which MCP tools teams use, who accesses them, and how often, along with audit logs for compliance and cost-control visibility. DeployStack also includes token/context window optimization so LLM clients consume far fewer tokens when loading MCP tools by routing through a hierarchical system, allowing scalable access to many MCP servers without degrading model performance.
    Starting Price: $10 per month
  • 3
    Prefect Horizon
    Prefect Horizon is a managed AI infrastructure platform within the broader Prefect product suite that lets teams deploy, govern, and operate Model Context Protocol (MCP) servers and AI agents at enterprise scale with production-ready features such as managed hosting, authentication, access control, observability, and tool governance. It builds on the FastMCP framework to turn MCP from just a protocol into a platform with four core integrated pillars, Deploy (host and scale MCP servers quickly with CI/CD and monitoring), Registry (a centralized catalog of first-party, third-party, and curated MCP endpoints), Gateway (role-based access control, authentication, and audit logs for secure, governed access to tools), and Agents (permissioned, user-friendly agent interfaces that can be deployed in Horizon, Slack, or exposed over MCP so business users can interact with context-aware AI without needing MCP technical knowledge).
    Starting Price: Free
  • 4
    Webrix MCP Gateway
    Webrix MCP Gateway is an enterprise AI adoption infrastructure that enables organizations to securely connect AI agents (Claude, ChatGPT, Cursor, n8n) to internal tools and systems at scale. Built on the Model Context Protocol standard, Webrix provides a single secure gateway that eliminates the #1 blocker to AI adoption: security concerns around tool access. Key capabilities: - Centralized SSO & RBAC - Connect employees to approved tools instantly without IT tickets - Universal agent support - Works with any MCP-compliant AI agent - Enterprise security - Audit logs, credential management, and policy enforcement - Self-service enablement - Employees access internal tools (Jira, GitHub, databases, APIs) through their preferred AI agents without manual configuration Webrix solves the critical challenge of AI adoption: giving your team the AI tools they need while maintaining security, visibility, and governance. Deploy on-premise, in your cloud, or use our managed service
    Starting Price: Free
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