hyper-mcp
📦️ A fast, secure MCP server that extends its capabilities through WebAssembly plugins.
No outside reports on file
Running a custom Rust server with untrusted or community WebAssembly plugins carries moderate to high risk of code execution, data exposure, and AI manipulation unless you audit plugins carefully and isolate the server.
Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesReads & writes local foldersREVIEW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (hyper-mcp-rs/hyper-mcp)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/hyper-mcp-rs/hyper-mcp ↗
About Hyper MCP
Hyper-MCP is a Model Context Protocol server written in Rust that lets Claude and other AI assistants connect to external tools and data sources. It can load plugins written in WebAssembly (a portable code format) to extend what capabilities the AI can access.
Who it’s for
Developers who want to build fast, pluggable integrations between AI assistants and backend systems. Best for teams comfortable with Rust, WebAssembly, and managing custom server infrastructure.
Alternatives
- Anthropic's official MCP servers (memory, file system, web search) — built and maintained by Anthropic
- stdlib's MCP implementations (Node.js, Python) — more mainstream language options with larger communities
- LangChain or LlamaIndex tools — alternative frameworks for connecting AI to external systems
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README. The GitHub repository should contain installation and configuration instructions for running the Rust-based server and loading WebAssembly plugins.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 881
- Listing last refreshed
- 2026-10-29
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Security reports
No reports found for this package in our research (last checked 2026-10-30).
Risks to watch for
- Arbitrary code execution: WebAssembly plugins run inside the server; malicious or buggy plugins could harm the host system or access local files
- Network access: The server can make outbound requests on behalf of the AI; it could reach internal APIs or services it shouldn't
- Prompt injection: Unfiltered user input passed through plugins could trick the AI into ignoring safety guidelines
- Data leaks: Plugins or the server itself might log, cache, or return sensitive information (API keys, database contents) to the AI or back to users
- Supply chain risk: Dependencies (Rust crates, WebAssembly modules) could contain hidden backdoors or vulnerabilities
How to lower the risk
Least-privilege permissions
- Run the server under a dedicated, low-privilege system user with minimal file and network access
- Only load plugins from trusted sources; never auto-update plugins without review
Network isolation
- Restrict outbound connections to specific, pre-approved APIs and domains
- Run the server inside a container or VM with limited network access to the host
Monitoring
- Log all plugin loads, API calls, and data requests; review logs regularly
- Set up alerts for unusual network activity or file access patterns
Red flags to watch for
- Plugins requesting broad filesystem or network permissions
- Lack of documentation or source code for plugins
- Large or obfuscated WebAssembly binaries (hard to audit)
- Unexpected outbound traffic or high CPU/memory use
Questions
How do I install Hyper MCP?
Hyper MCP does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/hyper-mcp-rs/hyper-mcp.
Are there security reports about Hyper MCP?
No reports found for this package in our research (last checked 2026-10-30). Hyper MCP currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include arbitrary code execution, network access, prompt injection.
Is Hyper MCP actively maintained?
Hyper MCP has 881 GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/hyper-mcp-rs/hyper-mcp before pinning it in production.
What are alternatives to Hyper MCP?
Notable alternatives to Hyper MCP include Anthropic's official MCP servers, stdlib's MCP implementations, LangChain. You can also compare Hyper MCP side by side with other MCP servers in the Related tools section on this page.
Key facts
- Type
- App connector
- Publisher
- hyper-mcp-rs
- Source code
- github.com/hyper-mcp-rs/hyper-mcp
- Est. context load
- ~500 tokens / turn (~3 tool schemas, 0.25% of 200k context)
- Popularity
- 881 GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-23
Community
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