Best AI Gateways for Visual Studio Code
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Compare the Top AI Gateways that integrate with Visual Studio Code as of October 2026
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This a list of AI 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 AI Gateways for Visual Studio Code?
AI gateways, also known as LLM gateways, are advanced systems that facilitate the integration and communication between artificial intelligence models and external applications, networks, or devices. They act as a bridge, enabling AI systems to interact with different data sources and environments, while managing and securing data flow. These gateways help streamline AI deployment by providing access control, monitoring, and optimization of AI-related services. They often include features like data preprocessing, routing, and load balancing to ensure efficiency and scalability. AI gateways are commonly used in industries such as healthcare, finance, and IoT to improve the functionality and accessibility of AI solutions. Compare and read user reviews of the best AI Gateways for Visual Studio Code currently available using the table below. This list is updated regularly.
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1
Anaconda
Anaconda
Anaconda gives enterprises one governed path to many models. Through Kilo by Anaconda, builders choose from 500+ open and closed models, including OpenAI, Anthropic, and NVIDIA Nemotron, and route each request to an approved model that balances performance and cost. Administrators decide which models teams can use, and budgets and access controls follow developers across VS Code, JetBrains, the terminal, and Kilo Desktop. Enkrypt AI by Anaconda adds runtime guardrails that detect and block unsafe inputs and outputs, and enforces policy on agent access to tools and data. Teams avoid locking into one model provider and keep visibility into what each model costs as usage scales. -
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OpenCheese AI
OpenCheese AI
OpenCheese AI is a hosted AI gateway and API for developers who want to connect applications and coding tools to multiple AI models through a unified service. It provides OpenAI-compatible endpoints and an Anthropic Messages-compatible interface, with model selection, API-key management, usage and balance tracking, and access to models from providers including OpenAI, Anthropic, Google, and DeepSeek. Developers can configure supported coding clients and applications to send requests through OpenCheese rather than managing separate provider credentials for each connection. The service offers both credit-based usage and time-limited plans with included balances; available models, rates, and free-model options depend on the selected model and plan. It is intended for developers evaluating or building text, coding, and image-generation workflows with hosted AI models.Starting Price: $9.99/month -
3
Storm MCP
Storm MCP
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.Starting Price: $29 per month -
4
Devant
WSO2
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.Starting Price: Free -
5
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 -
7
Modelflare
Havenbyte, LLC
Modelflare is a hosted AI API gateway for developers building applications, agents, and workflows that use models from multiple providers, including GPT, Claude, Gemini, Grok, and DeepSeek. It provides a shared API key and console for OpenAI-compatible chat and Responses, Anthropic Messages, and provider-specific image and video interfaces. Developers can compare models and routing groups, configure primary routes and ordered fallback groups, or use Smart API Keys to select among available routes according to a routing strategy. API keys can be separated by project and managed with controls such as quotas, expiration dates, and model or IP restrictions. The service records request-level usage, token counts, routing details, and costs, with pricing based on the selected model, group, and applicable billing unit. Documentation includes setup guides for SDKs, coding agents, plugins, and workflow tools.
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