Best MCP Gateways

Cyclr is an embedded integration toolkit (embedded iPaaS) for creating, managing and publishing white-labelled integrations directly into your SaaS application. With a low-code, visual integration builder and a fully featured unified API for developers, all teams can impact integration creation and delivery. Flexible deployment methods include an in-app Embedded integration marketplace, where you can push your new integrations live, for your users to self serve, in minutes. Cyclr's fully multi-tenanted architecture helps you scale your integrations with security fully built in - you can even opt for Private deployments (managed or in your infrastructure). Accelerate your AI strategy by Creating and publishing your own MCP Servers too, so you can make your SaaS usable inside LLMs. We help take the hassle out of delivering your users' integration needs.

Tyk is a leading Open Source API Gateway and Management Platform, featuring an API gateway, analytics, developer portal and dashboard. We power billions of transactions for thousands of innovative organisations. By making our capabilities easily accessible to developers, we make it fast, simple and low-risk for big enterprises to manage their APIs, adopt microservices and adopt GraphQL. Whether self-managed, cloud or a hybrid, our unique architecture and capabilities enable large, complex, global organisations to quickly deliver highly secure, highly regulated API-first applications and products that span multiple clouds and geographies.

Klavis AI provides open source infrastructure to simplify the use, building, and scaling of Model Context Protocols (MCPs) for AI applications. MCPs enable tools to be added dynamically at runtime in a standardized way, eliminating the need for preconfigured integrations during design time. Klavis AI offers hosted, secure MCP servers, eliminating the need for authentication management and client code. The platform supports integration with various tools and MCP servers. Klavis AI's MCP servers are stable and reliable, hosted on dedicated cloud infrastructure, and support OAuth and user-based authentication for secure access and management of user resources. The platform also offers MCP clients on Slack, Discord, and the web, allowing direct access to MCPs within these communication platforms. Additionally, Klavis AI provides a standardized RESTful API interface to interact with MCP servers, enabling developers to integrate MCP functionality into their applications.

Storm MCP is a gateway built around the Model Context Protocol (MCP) that lets AI applications connect to multiple verified MCP servers with one-click deployment, offering enterprise-grade security, observability, and simplified tool integration without requiring custom integration work. It enables you to standardize AI connections by exposing only selected tools from each MCP server, thereby reducing token usage and improving model tool selection. Through Lightning deployment, one can connect to over 30 secure MCP servers, while Storm handles OAuth-based access, full usage logs, rate limiting, and monitoring. It’s designed to bridge AI agents with external context sources in a secure, managed fashion, letting developers avoid building and maintaining MCP servers themselves. Built for AI agent developers, workflow builders, and indie hackers, Storm MCP positions itself as a composable, configurable API gateway that abstracts away infrastructure overhead and provides reliable context.

MCPTotal is a secure, enterprise-grade platform designed to manage, host, and govern MCP (Model Context Protocol) servers and AI-tool integrations in a controlled, audit-ready environment rather than letting them run ad hoc on developers’ machines. It offers a “Hub”, a centralized, sandboxed runtime environment where MCP servers are containerized, hardened, and pre-vetted for security. A built-in “MCP Gateway” acts like an AI-native firewall: it inspects MCP traffic in real time, enforces policies, monitors all tool calls and data flows, and prevents common risks such as data exfiltration, prompt-injection attacks, or uncontrolled credential usage. All API keys, environment variables, and credentials are stored securely in an encrypted vault, avoiding the risk of credential-sprawl or storing secrets in plaintext files on local machines. MCPTotal supports discovery and governance; security teams can scan desktops and cloud instances to detect where MCP servers are in use.

Obot is an open-source AI infrastructure platform and Model Context Protocol (MCP) gateway that gives organizations a centralized control plane for discovering, onboarding, managing, securing, and scaling MCP servers, services that connect large language models and AI agents to enterprise systems, tools, and data. It bundles an MCP gateway, catalog, admin console, and optional built-in chat interface into a modern interface that integrates with identity providers (e.g., Okta, Google, GitHub) to enforce access control, authentication, and governance policies across MCP endpoints, ensuring secure, compliant AI interactions. Obot lets IT teams host local or remote MCP servers, proxy access through a secure gateway, define fine-grained user permissions, log and audit usage, and generate connection URLs for LLM clients such as Claude Desktop, Cursor, VS Code, or custom agents.

Lunar.dev is an AI gateway and API consumption management platform that gives engineering teams a single, unified control plane to monitor, govern, secure, and optimize all outbound API and AI agent traffic, including calls to large language models, Model Context Protocol tools, and third-party services, across distributed applications and workflows. It provides real-time visibility into usage, latency, errors, and costs so teams can observe every model, API, and agent interaction live, and apply policy enforcement such as role-based access control, rate limiting, quotas, and cost guards to maintain security and compliance while preventing overuse or unexpected bills. Lunar.dev's AI Gateway centralizes control of outbound API traffic with identity-aware routing, traffic inspection, data redaction, and governance, while its MCPX gateway consolidates multiple MCP servers under one secure endpoint with full observability and permission management for AI tools.

Docker MCP Gateway is an open source core component of the Docker MCP Catalog and Toolkit that runs Model Context Protocol (MCP) servers in isolated Docker containers with restricted privileges, network access, and resource limits to ensure secure, consistent execution environments for AI tools. It manages the entire lifecycle of MCP servers, including starting containers on demand when an AI application needs a tool, injecting required credentials, applying security restrictions, and routing requests so the server processes them and returns results through a unified gateway interface. By consolidating all enabled MCP containers behind a single, unified endpoint, the Gateway simplifies how AI clients discover and access multiple MCP services, reducing duplication, improving performance, and centralizing configuration and authentication.

WSO2 Devant is an AI-native integration platform as a service designed to help enterprises connect, integrate, and build intelligent applications across systems, data sources, and AI services in the AI era. It enables users to connect to generative AI models, vector databases, and AI agents, and infuse applications with AI capabilities while simplifying complex integration challenges. Devant includes a no-code/low-code and pro-code development experience with AI-assisted development tools such as natural-language-based code generation, suggestions, automated data mapping, and testing to speed up integration workflows and foster business-IT collaboration. It provides an extensive library of connectors and templates to orchestrate integrations across protocols like REST, GraphQL, gRPC, WebSockets, TCP, and more, scale across hybrid/multi-cloud environments, and connect systems, databases, and AI agents.

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.

Composio is an integration platform designed to enhance AI agents and Large Language Models (LLMs) by providing seamless connections to over 150 tools with minimal code. It supports a wide array of agentic frameworks and LLM providers, facilitating function calling for efficient task execution. Composio offers a comprehensive repository of tools, including GitHub, Salesforce, file management systems, and code execution environments, enabling AI agents to perform diverse actions and subscribe to various triggers. The platform features managed authentication, allowing users to oversee authentication processes for all users and agents from a centralized dashboard. Composio's core capabilities include a developer-first integration approach, built-in authentication management, an expanding catalog of over 90 ready-to-connect tools, a 30% increase in reliability through simplified JSON structures and improved error handling, SOC Type II compliance ensuring maximum data security.

​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.

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.