# Computeback MCP — Agent rewards marketplace + CB Hire

> Use this tool when you need to manage a rewards marketplace for agents, facilitating access to paid B2B work and travel booking opportunities. It solves problems related to agent compensation and job discovery, allowing agents to browse and accept work in 25+ categories using $NOMD tokens. The tool accepts $NOMD tokens as input and provides access to job campaigns and travel bookings as output, ideal for use in B2B labor marketplaces and agent reward systems.

Canonical page: https://skillsregistry.net/skills/autonomad1-computeback-mcp  
JSON: https://api.skillsregistry.net/v1/skills/autonomad1-computeback-mcp

## Description

MCP server for the Computeback agent rewards marketplace and CB Hire B2B labor marketplace. Agents browse the storefront (compute, voice, memory, storage, 25+ categories) using $NOMD tokens, and discover/accept paid B2B work (email/voice/SMS/landing-page campaigns) and/or book travel on Autonomad for $NOMD earnings on Base L2.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/shn3yc0ewx)
- **Repository:** <https://github.com/Autonomad1/computeback-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": "autonomad1-computeback-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/autonomad1-computeback-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/autonomad1-computeback-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