Best API Gateways for Model Context Protocol (MCP)

Compare the Top API Gateways that integrate with Model Context Protocol (MCP) as of September 2026

This a list of API Gateways that integrate with Model Context Protocol (MCP). Use the filters on the left to add additional filters for products that have integrations with Model Context Protocol (MCP). View the products that work with Model Context Protocol (MCP) in the table below.

What are API Gateways for Model Context Protocol (MCP)?

API gateways act as centralized entry points that manage, secure, and route requests between clients and backend services in an application or microservices architecture. They handle essential functions such as authentication, rate limiting, load balancing, caching, and request transformation to optimize performance and security. By consolidating these controls, API gateways simplify communication, reduce latency, and ensure consistent governance across multiple APIs. They also provide analytics and monitoring to help developers track usage and detect issues in real time. Ultimately, API gateways improve scalability, reliability, and security for modern, distributed applications. Compare and read user reviews of the best API Gateways for Model Context Protocol (MCP) currently available using the table below. This list is updated regularly.

  • 1
    Merge

    Merge

    Merge.dev

    Merge is the leading
Unified API platform that enables B2B software companies to add hundreds of integrations to their products—making it easy for them to access and sync their customers’ data. ‍Merge's Unified APIs provide normalized data across key software categories, including accounting, HRIS, ATS, CRM, file storage, and ticketing. Merge also handles the full integrations lifecycle—from an easy initial build that takes just weeks to providing integration observability tools to help your customer-facing teams manage integrations. Thousands of companies—like BambooHR, Ramp, and Ema—trust Merge to power integrations that unblock sales, reduce customer churn, accelerate time to market for new products, and save engineering costs and resources.
    Starting Price: Free
  • 2
    WunderGraph Cosmo
    WunderGraph is an open source, next-generation API platform designed to unify, manage, and accelerate how developers compose, integrate, and serve APIs from diverse backends (such as REST, gRPC, Kafka, and GraphQL) into a single, type-safe, high-performance API surface that modern applications can consume. It includes Cosmo, a full lifecycle API management solution for federated GraphQL that provides schema registry, composition checks, routing, analytics, metrics, tracing, and observability, all manageable via code in your existing development workflows rather than separate dashboards. WunderGraph lets teams define how multiple services should be composed into one API, automatically generate type-safe client libraries, and handle authentication, authorization, and API calls with built-in tooling that fits into CI/CD and Git-centric processes.
    Starting Price: $499 per month
  • 3
    Grafbase

    Grafbase

    Grafbase

    Grafbase is a high-performance GraphQL platform designed to help developers build, unify, and manage APIs by combining multiple data sources into a single federated API layer. It acts as a GraphQL federation gateway that aggregates services such as databases, microservices, REST APIs, and third-party systems into one unified endpoint that applications can query efficiently. Developers can compose a federated graph from multiple independent subgraphs, allowing different teams or services to evolve independently while still presenting a single coherent API to clients. Grafbase includes a schema registry and governance tools that enable teams to manage schema changes, run checks to detect breaking changes, and collaborate on schema proposals before deployment. It also provides analytics, observability, and performance monitoring features that track API usage and help teams optimize their data infrastructure.
  • 4
    Apigene

    Apigene

    Apigene

    Apigene MCP Gateway is the runtime layer that connects AI agents to APIs and MCP servers through the Model Context Protocol. It exposes agent tools, context, skills, and instructions as a single remote MCP endpoint that is fully managed and governed, making MCP native rather than experimental. Apigene provides the full agent foundation layer as one MCP Gateway, allowing agents to securely access APIs and MCP servers without custom glue code or framework-specific logic. Teams can build AI agents using chat, defining which APIs and MCP servers the agent can use, how it should reason, and how it should act without code. It supports intelligent tool selection, automatically matching the right API or MCP tool to each request, and multi-platform deployment across ChatGPT, Claude, Cursor, Gemini, VS Code, internal copilots, enterprise AI platforms, and custom apps.
    Starting Price: $200 per month
  • 5
    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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