Hyper MCP Server

Please refer to the new repository for the latest updates and contributions.

Local serverstdioPython

What is the Hyper MCP MCP server?

Please refer to the new repository for the latest updates and contributions. That is what the hyper mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

hyper-mcp makes it easy to add AI capabilities to your applications. It works with Claude Desktop, Cursor IDE, and other MCP-compatible apps. Write plugins in your favorite language, distribute them through container registries, and run them anywhere - from cloud to edge.

  • Write plugins in any language that compiles to WebAssembly
  • Distribute plugins via standard OCI registries (like Docker Hub)
  • Built on Extism for rock-solid plugin support
  • Sanboxing with WASM: ability to limit network, filesystem, memory access
  • Lightweight enough for resource-constrained environments
  • Support all 3 protocols in the spec: stdio, sse and streamble-http

Getting it running

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

The tools it exposes

The server publishes 10 tools. What each one is for:

  • Cross — platform compatibility out of the box
  • Memory — safe execution with resource limits
  • Fine — grained access control for host functions
  • Linux — $HOME/.config/hyper-mcp/config.json
  • Windows — {FOLDERID_RoamingAppData}. Eg: C:\Users\Alice\AppData\Roaming
  • macOS — $HOME/Library/Application Support/hyper-mcp/config.json
  • oci — // - for OCI-compliant registries (like Docker Hub, GitHub Container Registry, etc.)
  • file — // - for local files
  • Platform — specific keyring setup for macOS, Linux, and Windows
  • Environment — specific filtering strategies

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • With 10 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Hyper MCP.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How it compares

Plenty of cloud and infrastructure servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Hyper MCP's toolset — Cross, Memory, Fine and 7 more — is a fair guide to whether it matches your workflow. It is maintained by tuananh; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Available tools

ToolWhat it does
Crossplatform compatibility out of the box
Memorysafe execution with resource limits
Finegrained access control for host functions
Linux$HOME/.config/hyper-mcp/config.json
Windows{FOLDERID_RoamingAppData}. Eg: C:\Users\Alice\AppData\Roaming
macOS$HOME/Library/Application Support/hyper-mcp/config.json
oci// - for OCI-compliant registries (like Docker Hub, GitHub Container Registry, etc.)
file// - for local files
Platformspecific keyring setup for macOS, Linux, and Windows
Environmentspecific filtering strategies

Example prompts to try

  • Use Hyper MCP to Cross.
  • Use Hyper MCP to Memory.
  • Use Hyper MCP to Fine.

Frequently asked questions

It connects Hyper MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 10 tools (Cross, Memory, Fine, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Hyper MCP directly.