MCP-Gateway

MCP‑Gateway2 is a lightweight, Go‑based service that unifies the management of MCP servers and the APIs they expose. Its core mission is to relieve AI agents from wrestling with low‑level connection details and instead let them focus on high‑value reasoning. By exposing a consistent HTTP interface for defining, versioning, and compiling MCP servers into WebAssembly modules, the gateway turns any external data source—be it a relational database, a REST endpoint, or a custom microservice—into a first‑class tool that can be invoked by an AI assistant.

The gateway tackles the “integration friction” problem: developers normally need to write adapters, maintain connection strings, and manually update schema changes. MCP‑Gateway2 abstracts all of that behind three logical layers: HTTP Interface Management, MCP Server Management, and Routing Management. In practice, a developer declares an HTTP interface (including headers, authentication, and payload templates), then creates one or more MCP servers that stitch together those interfaces. The server automatically compiles the resulting configuration into WebAssembly, enabling dynamic loading and sandboxed execution within any host that supports WASM. Routing rules map friendly URLs like to the corresponding compiled MCP server, simplifying deployment and discovery.

Key capabilities include:

• Curl ↔ HTTP interface conversion: Transform raw curl commands into reusable HTTP interface definitions, eliminating manual boilerplate.
• OpenAPI import/export: Seamlessly convert between the gateway’s internal YAML format and industry‑standard OpenAPI specs, ensuring compatibility with existing API tooling.
• Version control: Track changes to both interfaces and servers, allowing rollback or parallel testing of multiple MCP server versions.
• Dynamic publishing: Compile an MCP server to WebAssembly on demand and activate it via a single API call, reducing startup time for new tools.

Real‑world scenarios where MCP‑Gateway2 shines include building a knowledge‑graph agent that queries multiple databases, creating a chatbot that needs to call disparate SaaS APIs, or deploying a data‑science workflow where each step is an isolated MCP server. In all cases, the gateway eliminates repetitive boilerplate and guarantees that every tool is packaged, versioned, and routable through a single HTTP endpoint.

Because the gateway itself runs as an HTTP service, it can be integrated into existing CI/CD pipelines or orchestrated behind API gateways. Developers who already understand MCP concepts will appreciate the clear separation of concerns, the declarative interface definitions, and the automatic WebAssembly compilation that removes runtime dependencies. In short, MCP‑Gateway2 provides a turnkey solution for turning arbitrary data sources into AI‑friendly tools with minimal friction and maximum consistency.