Best MCP Gateways in the USA

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.

Zapier is a comprehensive AI automation platform that helps organizations transform how work gets done. It allows teams to connect AI tools with everyday apps to automate workflows end to end. Zapier supports AI workflows, custom agents, chatbots, forms, and data tables in one unified system. With over 8,000 integrations, it eliminates manual handoffs between tools and teams. Built-in AI assistance helps users design automations quickly without technical complexity. Zapier enables teams to deploy AI agents that work continuously, even outside business hours. The platform offers full visibility into automation activity with audit logs and analytics. Enterprise-grade security and compliance ensure safe AI adoption at scale. Zapier is used across departments including marketing, sales, IT, and operations. It helps teams save time, reduce costs, and scale productivity with confidence.

Tyk is an Open Source API Gateway and Management Platform that is leading in Open Source API Gateways and Management. It features an API gateway, analytics portal, dashboard, and a developer portal. Supporting REST, GraphQL, TCP and gRPC protocols We facilitate billions of transactions for thousands of innovative organisations. Tyk can be installed on-premises (Self-managed), Hybrid or fully SaaS.

Manage APIs seamlessly across both cloud environments and on-premises systems: Alongside Azure, implement API gateways in conjunction with APIs hosted in various cloud platforms and local servers to enhance the flow of API traffic. Ensure that you meet security and compliance standards while benefiting from a cohesive management experience and comprehensive visibility over all internal and external APIs. Accelerate your operations with integrated API management: Modern enterprises are increasingly leveraging API architectures to foster growth. Simplify your processes within hybrid and multi-cloud settings by utilizing a centralized platform for overseeing all your APIs. Safeguard your resources effectively: Choose to selectively share data and services with employees, partners, and clients by enforcing authentication, authorization, and usage restrictions to maintain control over access. By doing so, you can ensure that your systems remain secure while still allowing for collaboration and efficient interaction.

One platform to build, integrate, and expose your digital services as managed APIs in cloud, on-premises and hybrid architectures to support your digital transformation strategy. Integrate with your existing identity access and key management tools to implement industry-standard authorization flows, such as OAuth Connect, OpenID Connect, or JWTs. You can create APIs using existing services, manage APIs both from third-party providers and internally built applications, and monitor their usage, performance, and retirement. To optimize your developer support, improve your services and drive adoption, you can provide real-time access API usage and performance statistics for decision-makers.

Workato is the operating platform for today's fast-moving businesses. It is the only AI-based middleware platform that allows both IT and business to integrate their apps and automate complex business workflows. Our mission is to help companies automate and integrate their apps and business processes at least 10x faster than traditional tools, and at a tenth the cost of traditional tools. Integration is a mission critical, neutral technology that can be used in heterogeneous IT environments. We are the only technology vendor that is supported by all three of the leading SaaS vendors: Salesforce. Workday. And ServiceNow. We are trusted by the world's most recognizable brands and the fastest-growing innovators. Customers consider us to be one of the best companies to do business.

TrueFoundry is an Enterprise Platform as a service that enables companies to build, ship and govern Agentic AI applications securely, at scale and with reliability through its AI Gateway and Agentic Deployment platform. Its AI Gateway encompasses a combination of - LLM Gateway, MCP Gateway and Agent Gateway - enabling enterprises to manage, observe, and govern access to all components of a Gen AI Application from a single control plane while ensuring proper FinOps controls. Its Agentic Deployment platform enables organizations to deploy models on GPUs using best practices, run and scale AI agents, and host MCP servers - all within the same Kubernetes-native platform. It supports on-premise, multi-cloud or Hybrid installation for both the AI Gateway and deployment environments, offers data residency and ensures enterprise-grade compliance with SOC 2, HIPAA, EU AI Act and ITAR standards. Leading Fortune 1000 companies like Resmed, Siemens Healthineers, Automation Anywhere, Zscaler, Nvidia and others trust TrueFoundry to accelerate innovation and deliver AI at scale, with 10Bn + requests per month processed via its AI Gateway and more than 1000+ clusters managed by its Agentic deployment platform. TrueFoundry’s vision is to become the Central control plane for running Agentic AI at scale within enterprises and empowering it with intelligence so that the multi-agent systems become a self-sustaining ecosystem driving unparalleled speed and innovation for businesses. To learn more about TrueFoundry, visit truefoundry.com.

An innovative no-code platform harnessing AI for developers enables seamless connection of diverse data flows, facilitating the creation of numerous app integrations effortlessly. By leveraging an intelligent agent, users can generate APIs from simple human prompts, thereby introducing new integrations without the need for traditional coding. This solution offers a Universal API that accommodates all application requirements, empowering users to build, extend, reuse, and unify their integrations and authentication processes. In just minutes, you can craft high-performance, enterprise-ready APIs that come equipped with built-in observability and compliance features. With the ability to integrate applications in only a few clicks, instant data orchestration is achievable across all linked systems. This allows teams to concentrate on growth rather than the complexities of infrastructure, as they can efficiently manage, monitor, and observe their systems. Challenges such as poor performance, limited insights, and scalability issues can result in significant inefficiencies and increased downtime. Compounding the problem, overwhelming API integration backlogs and intricate connectors tend to hinder innovation and reduce productivity. Additionally, reconciling data inconsistencies across various systems can often require countless hours of effort. Fortunately, users can develop and integrate connectors with any data source, irrespective of its age or format, making the process streamlined and efficient. Ultimately, this platform not only enhances integration speed but also elevates overall operational effectiveness.

Ragie simplifies the processes of data ingestion, chunking, and multimodal indexing for both structured and unstructured data. By establishing direct connections to your data sources, you can maintain a consistently updated data pipeline. Its advanced built-in features, such as LLM re-ranking, summary indexing, entity extraction, and flexible filtering, facilitate the implementation of cutting-edge generative AI solutions. You can seamlessly integrate with widely used data sources, including Google Drive, Notion, and Confluence, among others. The automatic synchronization feature ensures your data remains current, providing your application with precise and trustworthy information. Ragie’s connectors make integrating your data into your AI application exceedingly straightforward, allowing you to access it from its original location with just a few clicks. The initial phase in a Retrieval-Augmented Generation (RAG) pipeline involves ingesting the pertinent data. You can effortlessly upload files directly using Ragie’s user-friendly APIs, paving the way for streamlined data management and analysis. This approach not only enhances efficiency but also empowers users to leverage their data more effectively.

Klavis AI delivers open source infrastructure designed to streamline the utilization, development, and expansion of Model Context Protocols (MCPs) for artificial intelligence applications. With MCPs, tools can be integrated dynamically at runtime in a uniform manner, which removes the requirement for preconfigured setups during the design phase. Klavis AI supplies secure and hosted MCP servers, which alleviates the burden of authentication management and client-side code. This platform facilitates integration with a diverse range of tools and MCP servers, ensuring flexibility and adaptability. Klavis AI's MCP servers are not only stable and trustworthy but are also hosted on dedicated cloud infrastructure, with support for OAuth and user-based authentication to ensure secure access and effective management of user resources. Furthermore, the platform features MCP clients available on Slack, Discord, and web interfaces, allowing users to access MCPs directly from these popular communication platforms. In addition, Klavis AI offers a standardized RESTful API for seamless interaction with MCP servers, empowering developers to incorporate MCP capabilities into their applications with ease. This comprehensive approach ensures that developers have the tools they need to efficiently harness the power of MCPs in their AI projects.

Storm MCP serves as an advanced gateway centered on the Model Context Protocol (MCP), facilitating seamless connections between AI applications and multiple verified MCP servers through a straightforward one-click deployment process. It ensures robust enterprise-level security, enhanced observability, and easy integration of tools without the need for extensive custom development. By standardizing AI connections and only exposing specific tools from each MCP server, it helps minimize token consumption and optimizes the selection of model tools. With its Lightning deployment feature, users can access over 30 secure MCP servers, while Storm efficiently manages OAuth-based access, comprehensive usage logs, rate limitations, and monitoring. This innovative solution is crafted to connect AI agents to external context sources securely, allowing developers to sidestep the complexities of building and maintaining their own MCP servers. Tailored for AI agent developers, workflow creators, and independent innovators, Storm MCP stands out as a flexible and configurable API gateway, simplifying infrastructure challenges while delivering dependable context for diverse applications. Its unique capabilities make it an essential tool for those looking to enhance their AI integration experience.

MCPTotal is a robust, enterprise-level solution that facilitates the management, hosting, and governance of MCP (Model Context Protocol) servers and AI-tool integrations within a secure, audit-friendly framework, rather than allowing them to operate haphazardly on developers' local machines. The platform features a “Hub,” which serves as a centralized, sandboxed runtime space where MCP servers are securely containerized, fortified, and thoroughly vetted for potential vulnerabilities. Additionally, it includes an integrated “MCP Gateway” that functions as an AI-focused firewall, capable of real-time inspection of MCP traffic, enforcing security policies, tracking all tool interactions and data movements, and mitigating typical threats like data breaches, prompt-injection attempts, and improper credential use. Security measures are further enhanced through the secure storage of all API keys, environment variables, and credentials in an encrypted vault, effectively preventing credential sprawl and the risks associated with storing sensitive information in plaintext on personal devices. Furthermore, MCPTotal empowers organizations with discovery and governance capabilities, allowing security teams to conduct scans on both desktop and cloud environments to identify the active use of MCP servers, thus ensuring comprehensive oversight and control. Overall, this platform represents a significant advancement in the management of AI resources, promoting both security and efficiency within enterprises.

Obot functions as an open-source AI infrastructure platform and Model Context Protocol (MCP) gateway, providing organizations with a centralized control system to discover, onboard, manage, secure, and scale MCP servers, which facilitate the connection of large language models and AI agents to various enterprise systems, tools, and data sources. It incorporates an MCP gateway, a catalog, an administrative console, and an optional integrated chat interface, all within a modern design that works seamlessly with identity providers like Okta, Google, and GitHub to implement access control, authentication, and governance policies across MCP endpoints, thus ensuring that AI interactions remain secure and compliant. Moreover, Obot empowers IT teams to host both local and remote MCP servers, manage access through a secure gateway, establish detailed user permissions, log and audit usage effectively, and create connection URLs for LLM clients, including tools like Claude Desktop, Cursor, VS Code, or custom agents, enhancing operational flexibility and security. Additionally, this platform streamlines the integration of AI services, making it easier for organizations to leverage advanced technologies while maintaining robust governance and compliance standards.

Lunar.dev serves as a comprehensive AI gateway and API consumption management platform designed to empower engineering teams with a singular, integrated control interface for overseeing, regulating, safeguarding, and enhancing all outbound API and AI agent interactions. This includes tracking communications with large language models, utilizing Model Context Protocol tools, and interfacing with external services across various distributed applications and workflows. It offers instantaneous insights into usage patterns, latency issues, errors, and associated costs, enabling teams to monitor every interaction involving models, APIs, and agents in real time. Furthermore, it allows for the enforcement of policies such as role-based access control, rate limiting, quotas, and cost management measures to ensure security and compliance while avoiding excessive usage or surprise expenses. By centralizing the management of outbound API traffic through features like identity-aware routing, traffic inspection, data redaction, and governance, Lunar.dev enhances operational efficiency. Its MCPX gateway further streamlines the management of multiple Model Context Protocol servers by integrating them into a single secure endpoint, providing robust observability and permission oversight for AI tools. Thus, the platform not only simplifies the complexity of API management but also significantly boosts the ability of teams to harness AI technologies effectively.

The Docker MCP Gateway is a fundamental open source element of the Docker MCP Catalog and Toolkit, designed to run Model Context Protocol (MCP) servers within isolated Docker containers that have limited privileges, restricted network access, and defined resource constraints, thereby providing secure and consistent environments for AI applications. This component oversees the complete lifecycle of MCP servers by launching containers as needed when an AI application requires a specific tool, injecting necessary credentials, enforcing security measures, and directing requests so that servers can effectively process them and deliver outcomes through a single, cohesive gateway interface. By positioning all operational MCP containers behind one unified access point, the Gateway enhances the ease with which AI clients can discover and utilize various MCP services, minimizing redundancy, boosting performance, and centralizing aspects of configuration and authentication. In essence, it streamlines the interaction between AI applications and multiple services, fostering a more efficient development process and elevating overall system security.

FastMCP is a Python-based open-source framework designed to facilitate the development of Model Context Protocol (MCP) applications, simplifying the creation, management, and interaction with MCP servers while managing the complexities of the protocol so that developers can concentrate on their core business logic. The Model Context Protocol (MCP) serves as a standardized method for enabling large language models to connect securely with tools, data, and services, and FastMCP offers a streamlined API that allows for easy implementation of this protocol with minimal boilerplate code by utilizing Python decorators for registering tools, resources, and prompts. To set up a typical FastMCP server, one would instantiate a FastMCP object, use decorators to mark Python functions as tools (which can be invoked by the LLM), and then launch the server with various built-in transport options such as stdio or HTTP; this setup enables AI clients to interact with your code seamlessly as if it were integrated into the model’s context. Additionally, FastMCP’s design promotes efficient development practices, allowing teams to quickly iterate on their applications while maintaining high standards of code quality and performance.

WSO2 Devant is an integration platform designed with AI at its core, enabling businesses to seamlessly connect, integrate, and create intelligent applications across various systems, data sources, and AI services in the modern technological landscape. This platform facilitates connections to generative AI models, vector databases, and AI agents, enriching applications with advanced AI features while addressing complex integration challenges with ease. Devant offers both no-code/low-code and pro-code development experiences, enhanced by AI tools that assist in tasks such as natural-language-based code generation, suggestions, automated data mapping, and testing, all aimed at accelerating integration workflows and improving collaboration between business and IT teams. Furthermore, it boasts a comprehensive library of connectors and templates, allowing users to orchestrate integrations across multiple protocols including REST, GraphQL, gRPC, WebSockets, and TCP, while also ensuring scalability across hybrid and multi-cloud environments, effectively bridging systems, databases, and AI agents for optimal performance. This innovative platform not only streamlines integration processes but also empowers organizations to harness the full potential of AI in their operations.

DeployStack is an enterprise-oriented management platform for Model Context Protocol (MCP) that aims to centralize, secure, and enhance the governance of MCP servers and AI tools within organizations. It features a unified dashboard that allows for the management of all MCP servers, incorporating centralized credential vaulting to eliminate the need for scattered API keys and manual configuration files, while also implementing role-based access control, OAuth2 authentication, and top-tier encryption to ensure secure enterprise operations. The platform provides detailed usage analytics and observability, delivering real-time insights into the utilization of MCP tools, including user access patterns and frequency, alongside comprehensive audit logs to support compliance and visibility into costs. Additionally, DeployStack optimizes token and context window management, enabling Large Language Model (LLM) clients to utilize significantly fewer tokens by employing a hierarchical routing system for accessing multiple MCP servers, thus maintaining model performance without compromise. This innovative approach not only streamlines operations but also empowers organizations to efficiently manage their AI resources while ensuring security and compliance.

The Microsoft MCP Gateway serves as an open-source reverse proxy and management interface for Model Context Protocol (MCP) servers, facilitating scalable and session-aware routing along with lifecycle management and centralized oversight of MCP services, particularly within Kubernetes setups. Acting as a control plane, it adeptly directs requests from AI agents (MCP clients) to the corresponding backend MCP servers while maintaining session affinity, effectively managing multiple tools and endpoints through a singular gateway that prioritizes authorization and observability. Additionally, it empowers teams to deploy, update, and remove MCP servers and tools through RESTful APIs, enabling the registration of tool definitions and the management of these resources with security measures such as bearer tokens and role-based access control (RBAC). The architecture distinctly separates the management of the control plane, which includes CRUD operations on adapters, tools, and metadata, from the data plane's routing capabilities, which support streamable HTTP connections and dynamic tool routing, thus providing advanced features like session-aware stateful routing. This design not only enhances operational efficiency but also fosters a more secure environment for managing AI services.

Gate22 serves as a robust AI governance and Model Context Protocol (MCP) control platform designed for enterprises, centralizing the security and oversight of how AI tools and agents interact with MCP servers within an organization. It empowers administrators to onboard, configure, and regulate both internal and external MCP servers, offering detailed permissions at the functional level, team-based access control, and role-specific policies to ensure that only sanctioned tools and functionalities are accessible to designated teams or users. By providing a cohesive MCP endpoint, Gate22 aggregates multiple MCP servers into an intuitive interface featuring just two primary functions, leading to reduced token consumption for developers and AI clients, while effectively minimizing context overload and ensuring both precision and security. The administrative interface includes a governance dashboard that allows for the monitoring of usage trends, compliance maintenance, and enforcement of least-privilege access, while the member interface facilitates streamlined and secure access to authorized MCP bundles. This dual-view approach not only enhances operational efficiency but also strengthens overall security within the organizational framework.

Peta serves as an advanced control plane for the Model Context Protocol (MCP), streamlining, securing, governing, and overseeing how AI clients and agents interact with external tools, data, and APIs. This platform integrates a zero-trust MCP gateway, a secure vault, a managed runtime environment, a policy engine, human-in-the-loop approvals, and comprehensive audit logging into a cohesive solution, enabling organizations to implement nuanced access controls, safeguard raw credentials, and monitor all tool interactions conducted by AI systems. At the heart of Peta is Peta Core, which functions as both a secure vault and gateway, encrypting credentials, generating short-lived service tokens, verifying identity and compliance with policies for each request, managing the MCP server lifecycle through lazy loading and auto-recovery, and injecting credentials during runtime without revealing them to agents. Additionally, the Peta Console empowers teams to specify which users or agents can access particular MCP tools within designated environments, establish approval protocols, manage tokens, and review usage statistics and associated costs. This multifaceted approach not only enhances security but also fosters efficient resource management and accountability within AI operations.

Prefect Horizon serves as a managed AI infrastructure platform within the extensive Prefect product ecosystem, enabling teams to deploy, govern, and manage Model Context Protocol (MCP) servers and AI agents on an enterprise level with essential production-ready capabilities like managed hosting, authentication, access control, observability, and governance of tools. By leveraging the FastMCP framework, it transforms MCP from merely a protocol into a comprehensive platform featuring four integrated core components: Deploy, which facilitates the rapid hosting and scaling of MCP servers through CI/CD and monitoring; Registry, which acts as a centralized repository for first-party, third-party, and curated MCP endpoints; Gateway, which provides role-based access control, authentication, and audit logs to ensure secure and governed access to tools; and Agents, which offer user-friendly interfaces that can be deployed in Horizon, Slack, or accessible via MCP, allowing business users to engage with context-aware AI without requiring technical expertise in MCP. This multifaceted approach ensures that organizations can effectively harness AI capabilities while maintaining robust governance and security protocols.

agentgateway is an AI-native gateway built to manage, secure, and observe modern AI and agentic systems. It acts as a centralized control plane for LLMs, AI agents, and tool servers using protocols like MCP and A2A. Designed specifically for AI workloads, agentgateway supports connectivity patterns that legacy gateways cannot. The platform provides secure LLM access, preventing data leaks, malicious prompts, and uncontrolled usage. Enterprises gain full visibility into how models, agents, and tools interact across the ecosystem. agentgateway simplifies governance with centralized policy enforcement and access control. It also enables consistent observability using standards like OpenTelemetry. As an open-source project hosted by the Linux Foundation, it promotes vendor-neutral interoperability. agentgateway helps organizations scale AI responsibly and securely. It delivers a future-ready foundation for agentic connectivity.

Composio serves as an integration platform aimed at strengthening AI agents and Large Language Models (LLMs) by allowing easy connectivity to more than 150 tools with minimal coding efforts. This platform accommodates a diverse range of agentic frameworks and LLM providers, enabling efficient function calling for streamlined task execution. Composio boasts an extensive repository of tools such as GitHub, Salesforce, file management systems, and code execution environments, empowering AI agents to carry out a variety of actions and respond to multiple triggers. One of its standout features is managed authentication, which enables users to control the authentication processes for every user and agent through a unified dashboard. Additionally, Composio emphasizes a developer-centric integration methodology, incorporates built-in management for authentication, and offers an ever-growing collection of over 90 tools ready for connection. Furthermore, it enhances reliability by 30% through the use of simplified JSON structures and improved error handling, while also ensuring maximum data security with SOC Type II compliance. Overall, Composio represents a robust solution for integrating tools and optimizing AI capabilities across various applications.

Kong AI Gateway serves as a sophisticated semantic AI gateway that manages and secures traffic from Large Language Models (LLMs), facilitating the rapid integration of Generative AI (GenAI) through innovative semantic AI plugins. This platform empowers users to seamlessly integrate, secure, and monitor widely-used LLMs while enhancing AI interactions with features like semantic caching and robust security protocols. Additionally, it introduces advanced prompt engineering techniques to ensure compliance and governance are maintained. Developers benefit from the simplicity of adapting their existing AI applications with just a single line of code, which significantly streamlines the migration process. Furthermore, Kong AI Gateway provides no-code AI integrations, enabling users to transform and enrich API responses effortlessly through declarative configurations. By establishing advanced prompt security measures, it determines acceptable behaviors and facilitates the creation of optimized prompts using AI templates that are compatible with OpenAI's interface. This powerful combination of features positions Kong AI Gateway as an essential tool for organizations looking to harness the full potential of AI technology.