Hyper MCP

Hyper MCP is a high‑performance, security‑oriented Model Context Protocol server that lets developers expose AI capabilities as lightweight WebAssembly (WASM) plugins. By leveraging the Extism runtime, it turns any language that compiles to WASM into a first‑class tool for Claude Desktop, Cursor IDE, and any other MCP‑compatible application. The server is designed to run anywhere—from a cloud microservice or serverless function to an edge device, mobile phone, or IoT gateway—without sacrificing speed or safety.

The core problem Hyper MCP solves is the friction of integrating external AI logic into existing workflows. Traditional approaches require a custom API layer, network latency, and often a full‑stack runtime. Hyper MCP eliminates that by loading plugins directly into the MCP server process, enabling zero‑copy communication with the host AI. Developers can write a tool in Rust, Go, Python (via WASM bindings), or any other language that compiles to WebAssembly, package it as an OCI image, and publish it to Docker Hub or GitHub Container Registry. The server pulls the image over OCI protocols, verifies signatures with Sigstore, and runs it in a sandbox that restricts filesystem, network, and memory access unless explicitly allowed. This model keeps the host system safe while still granting tools precise permissions.

Key capabilities include full support for all three MCP transport protocols—, , and —so the server can operate in a wide range of environments, from local terminals to web browsers. Plugin names are automatically prefixed with the tool name to avoid collisions, and runtime configuration can be fine‑tuned per plugin: allowed hosts, memory limits, or custom environment variables. The server’s lightweight design makes it suitable for edge deployments: a single binary can run on an ARM‑based Raspberry Pi with minimal RAM, yet still provide rich AI tooling to a local application.

Real‑world scenarios that benefit from Hyper MCP include:

• Developer tooling – Cursor IDE can invoke a WASM plugin that fetches documentation or runs static analysis without leaving the editor.
• Chatbot extensions – Claude Desktop can call a QR‑code generator or IP lookup tool that runs locally, ensuring privacy and instant response.
• IoT command chains – A home automation hub can load a WASM plugin that queries an external API, processes the result, and sends commands back to connected devices—all within a single secure process.
• Serverless microservices – A cloud function can start Hyper MCP, load a plugin from an OCI registry, and expose it as an endpoint without managing separate containers.

Hyper MCP’s integration workflow is straightforward: configure a that lists plugin URLs, optionally specify runtime constraints, and launch the server. Once running, any MCP‑compatible client can discover the available tools via a simple HTTP request and invoke them using standard protocol messages. Because plugins are sandboxed, developers can safely share tools across teams or open‑source them without exposing sensitive host resources. In short, Hyper MCP provides a secure, portable, and high‑performance bridge between AI assistants and custom logic, enabling developers to extend their applications with confidence.