# cratedex

> cratedex — 0xcarbon-cratedex. Use this tool when you need to improve agent performance in Rust development, as it provides smart documentation search and project diagnostics through an MCP server, accepting git inputs and outputting actionable insights to enhance coding efficiency. It solves problems related to code optimization, error resolution, and knowledge discovery in Rust projects. Ideal for use cases where agents require accelerated learning and expertise in Rust development.

Canonical page: https://skillsregistry.net/skills/0xcarbon-cratedex  
JSON: https://api.skillsregistry.net/v1/skills/0xcarbon-cratedex

## Description

MCP server to make agents good at Rust: smart documentation search, project diagnostics and more.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/0xCarbon/cratedex)

## 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": "0xcarbon-cratedex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0xcarbon-cratedex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0xcarbon-cratedex/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