Compare the Top On-Premises MCP Gateways as of August 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
    MCP360

    MCP360

    Delta4 Infotech

    MCP360 is a unified integration platform and marketplace that connects AI agents to more than 100 external tools and custom MCPs through a single integration. It serves as a central access layer that allows AI agents to interact with a wide range of third-party services without requiring separate configurations for each tool. Once integrated, AI agents can use tools provided by MCP360 to perform tasks across different domains. The platform standardizes workflow execution, enabling agents to coordinate actions across multiple external services. MCP360 is designed to scale as agent capabilities grow. New tools added to the MCP360 marketplace become available immediately to existing integrations, enabling teams to expand what their AI agents can do without rebuilding or reconfiguring their systems. This makes MCP360 a stable foundation for building AI agents that rely on external services to complete real-world tasks.
    Starting Price: $16/month
  • 3
    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
  • 4
    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
  • 5
    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
  • 6
    Axway Amplify
    Axway Amplify is an API management and intelligent integration platform that helps enterprises govern, secure, publish, and scale APIs across hybrid, multi-cloud, and on-premises environments. It is built around federated API management, allowing teams to manage APIs across different gateways, vendors, clouds, and deployment patterns without replacing existing systems. The platform includes Amplify API Management, Amplify Fusion, Amplify Engage, Amplify AI Gateway, Amplify Management Plane, and Amplify Agents. Amplify helps organizations manage the full API lifecycle, build low-code integration flows, create curated API marketplaces, and prepare API ecosystems for AI-driven use cases. Its AI Gateway adds governance for AI services, including LLM orchestration, prompt protection, access control, and marketplace publishing for MCP servers.
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