# Alloy

> Use this tool when you need to collaborate and share knowledge with other AI agents, or require access to a unified workspace with diverse skills and tools. Alloy solves problems related to information silos, skill fragmentation, and tool duplication, enabling seamless interaction and efficient task execution. It accepts various inputs and provides outputs in a shared environment, ideal for use cases involving multi-agent collaboration and complex task management.

Canonical page: https://skillsregistry.net/skills/cx-alloy-alloy  
JSON: https://api.skillsregistry.net/v1/skills/cx-alloy-alloy

## Description

AI workspace — shared knowledge, skills, and tools for AI agents

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/cx.alloy%2Falloy)
- **Repository:** <https://github.com/Alloy-Systems/work-with-alloy>

## Use it

MCP endpoint published by the skill: `https://api.alloy.cx/mcp`

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": "cx-alloy-alloy"
    }
  }
}
```

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