# Ethereal Rust

> Use this tool when you need to build AI-powered applications with a robust and flexible server foundation. Ethereal Rust solves problems related to tool management, authentication, and custom middleware support, providing a performant and type-safe implementation. It accepts inputs via stdio and SSE transports and is ideal for developers integrating AI capabilities into Rust-based projects.

Canonical page: https://skillsregistry.net/skills/ethereumdegen-rust  
JSON: https://api.skillsregistry.net/v1/skills/ethereumdegen-rust

## Description

This Rust implementation of the MCP server provides a robust foundation for building AI-powered applications. It offers core functionalities like tool management, authentication handling, and custom middleware support. The server is designed with flexibility in mind, supporting both stdio and SSE transports. It's particularly well-suited for developers looking to integrate AI capabilities into Rust-based projects or those seeking a performant, type-safe MCP server implementation.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ethereumdegen-rust)
- **Repository:** <https://github.com/ethereumdegen/mcp-rs>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ethereumdegen-rust"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ethereumdegen-rust` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ethereumdegen-rust/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt