Compare the Top MCP Gateways as of November 2026 - Page 2

  • 1
    Kong AI Gateway
    ​Kong AI Gateway is a semantic AI gateway designed to run and secure Large Language Model (LLM) traffic, enabling faster adoption of Generative AI (GenAI) through new semantic AI plugins for Kong Gateway. It allows users to easily integrate, secure, and monitor popular LLMs. The gateway enhances AI requests with semantic caching and security features, introducing advanced prompt engineering for compliance and governance. Developers can power existing AI applications written using SDKs or AI frameworks by simply changing one line of code, simplifying migration. Kong AI Gateway also offers no-code AI integrations, allowing users to transform, enrich, and augment API responses without writing code, using declarative configuration. It implements advanced prompt security by determining allowed behaviors and enables the creation of better prompts with AI templates compatible with the OpenAI interface.
  • 2
    Glama

    Glama

    Glama

    Glama.ai is a comprehensive AI workspace and integration platform that offers a unified interface to leading LLM providers, including OpenAI, Anthropic, and others. It supports the Model Context Protocol (MCP) ecosystem, enabling developers and enterprises to easily build, manage, and connect MCP-compatible services with AI agents such as Claude and GPT-4.
    Starting Price: $26/month/user
  • 3
    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
  • 4
    Enkrypt AI

    Enkrypt AI

    Anaconda

    Enkrypt AI is an agentic AI security and compliance platform designed to protect AI applications, models, agents, and their interactions throughout deployment. The platform combines continuous red teaming, real-time guardrails, monitoring, and policy enforcement to help organizations identify and mitigate AI security, safety, compliance, and brand risks. Enkrypt AI dynamically tests AI systems with use-case-specific attacks to uncover issues such as prompt injection, jailbreaking, data leakage, hallucinations, bias, harmful content, model drift, and unsafe agent actions. Real-time guardrails analyze AI interactions and block threats as they occur while adapting to changing prompts and emerging risks. Its compliance capabilities translate internal policies and external regulations into automated controls while producing evidence that organizations can use for audits and governance.
  • 5
    Devart MCP Server Universal
    Devart MCP Server Universal is a self-hosted Windows application that connects AI tools to databases, cloud services, and other ODBC-accessible sources through the Model Context Protocol (MCP). It uses configured ODBC drivers and data source names to route natural-language requests, generate and execute structured queries, and return results to the AI client. A single server can provide access to multiple connected sources, including SQL Server, MySQL, Oracle, PostgreSQL, Salesforce, HubSpot, Dynamics 365, NetSuite, QuickBooks Online, Snowflake, and Zoho services. It supports MCP-compatible clients such as Claude, Cursor, Visual Studio Code, Codex, Windsurf, Cline, and Zed. The server runs within an organization's own environment, giving developers, database administrators, data engineers, analysts, and operations teams a way to query internal business data through their preferred AI tools.
    Starting Price: $99.95/user/month
  • 6
    DeskWink

    DeskWink

    Viva Essence Ltd

    DeskWink connects compatible web-based AI assistants to selected folders on a user's computer through the Model Context Protocol (MCP). A local command-line interface (CLI) pairs with a remote MCP endpoint, allowing clients such as ChatGPT, Claude, and Gemini to browse, read, and search files, and propose edits. DeskWink previews proposed changes for user approval before applying them. Users choose which folders to share, while sensitive paths and files such as .env and .ssh are blocked by default. File contents are not stored in DeskWink's database or logs. DeskWink is in closed beta, with published beta limits of two computers and 5,000 AI actions per month. The service targets developers and other professionals who want AI assistants to work with local project or work folders. A Windows and macOS CLI is documented.
    Starting Price: $0
  • 7
    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.
  • 8
    MintMCP

    MintMCP

    MintMCP

    MintMCP is an enterprise-grade Model Context Protocol (MCP) gateway and governance platform that provides centralized security, observability, authentication, and compliance controls for AI tools and agents connecting to internal data, systems, and services. It lets organizations deploy, monitor, and govern MCP infrastructure at scale, giving real-time visibility into every MCP tool call, enforcing role-based access control and enterprise authentication, and maintaining complete audit trails that meet regulatory and compliance needs. Built as a proxy gateway, MintMCP consolidates connections from AI assistants like ChatGPT, Claude, Cursor, and others to MCP servers and tools, enabling unified monitoring, blocking of risky behavior, secure credential management, and fine-grained policy enforcement without requiring each tool to implement security individually.
  • 9
    Solo Enterprise

    Solo Enterprise

    Solo Enterprise

    Solo Enterprise provides a unified cloud-native application networking and connectivity platform that helps enterprises securely connect, scale, manage, and observe APIs, microservices, and intelligent AI workloads across distributed environments, especially Kubernetes-based and multi-cluster infrastructures. Its core capabilities are built on open source technologies such as Envoy and Istio and include Gloo Gateway for omnidirectional API management (handling external, internal, and third-party traffic with security, authentication, traffic routing, observability, and analytics), Gloo Mesh for centralized multi-cluster service mesh control (simplifying service-to-service connectivity and security across clusters), and Agentgateway/Gloo AI Gateway for secure, governed LLM/AI agent traffic with guardrails and integration support.
  • 10
    ContextForge MCP Gateway
    ContextForge MCP Gateway is an open source Model Context Protocol (MCP) gateway, registry, and proxy platform that provides a unified endpoint for AI clients to discover and access tools, resources, prompts, and REST or MCP services in complex AI ecosystems. It sits in front of multiple MCP servers and REST APIs to federate and unify discovery, authentication, rate-limiting, observability, and traffic routing across diverse backends, with support for transports such as HTTP, JSON-RPC, WebSocket, SSE, stdio, and streamable HTTP, and can virtualize legacy APIs as MCP-compliant tools. It includes an optional Admin UI for real-time configuration, monitoring, and log visibility, and is designed to scale from standalone deployments to multi-cluster Kubernetes environments with Redis-backed federation and caching for performance and resilience.
  • 11
    Easy MCP AI

    Easy MCP AI

    Easy MCP AI

    Easy MCP AI is a WordPress plugin that turns a site into an MCP server, so AI assistants can research, manage, optimize, and analyze WordPress through natural-language conversations. It connects with MCP-compatible clients such as Claude, ChatGPT, Cursor, and other AI tools, exposing WordPress functions as AI-ready tools without requiring Node.js, a proxy, long-running processes, or external infrastructure. It runs entirely in PHP on standard WordPress hosting and provides broad coverage for posts, pages, media, comments, users, categories, tags, menus, plugins, themes, blocks, custom post types, and more. It also adds integrations for WooCommerce, Advanced Custom Fields, BuddyPress, The Events Calendar, major SEO plugins, and data services including Google Analytics 4, Google Search Console, DataForSEO, Semrush, SE Ranking, and Ahrefs. AI assistants can research keywords, plan content, draft and publish posts, update SEO metadata, manage site data, and pull performance insights.
  • 12
    TrackMCP

    TrackMCP

    TrackMCP

    Shipped an MCP server but not sure how it’s being used? Use TrackMCP to understand • Who is using your MCP server • Which AI clients connect • How many are new and how many keep coming back • What people are trying to do • Which tools they use, in what order • Whether the work actually gets done • Where the job stops, and what to improve next Add one line to your TypeScript or Python MCP server. TrackMCP takes care of the rest and shows your data in the dashboard right away. We also have a free MCP repository. If you’re building an MCP server, list it there and help people discover it.