Best API Gateways for Visual Studio Code
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Compare the Top API Gateways that integrate with Visual Studio Code as of July 2026
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This a list of API Gateways that integrate with Visual Studio Code. Use the filters on the left to add additional filters for products that have integrations with Visual Studio Code. View the products that work with Visual Studio Code in the table below.
What are API Gateways for Visual Studio Code?
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 Visual Studio Code currently available using the table below. This list is updated regularly.
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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. -
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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
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