# mcp

> mcp — carbon-arc-mcp. Use this tool when you need to build and manage the infrastructure for AI-powered economies, providing primitives for inference, agent management, and decision-making processes. It solves problems related to AI model deployment, agent interactions, and decision optimization, accepting inputs such as model parameters and agent configurations, and outputting optimized decisions and inference results. Utilize mcp in contexts where scalable and efficient AI infrastructure is required, such as large-scale AI model deployment and multi-agent systems.

Canonical page: https://skillsregistry.net/skills/carbon-arc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/carbon-arc-mcp

## Description

The infrastructure for the AI economy: primitives for inference, agents, and decisions.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Carbon-Arc/mcp)

## 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": "carbon-arc-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/carbon-arc-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/carbon-arc-mcp/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