# Acurast

> Use this tool when you need to deploy and manage AI scripts on a decentralized computing platform, solving problems of distributed task management and performance monitoring. Acurast provides inputs for script deployment and outputs for retrieving processor metrics, such as performance statistics and resource utilization. It is ideal for use cases requiring scalable and efficient management of computing tasks across a network.

Canonical page: https://skillsregistry.net/skills/acurast  
JSON: https://api.skillsregistry.net/v1/skills/acurast

## Description

Acurast MCP Server provides a bridge to the Acurast decentralized computing platform, enabling AI assistants to deploy scripts and review processor performance. Built with TypeScript and Express, it implements tools for script deployment and resources for retrieving processor metrics, such as count and detailed performance statistics. The server exposes endpoints for handling MCP requests through a StreamableHTTPServerTransport, making it valuable for managing and monitoring distributed computing tasks on the Acurast network.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/acurast)
- **Repository:** <https://github.com/andreasgassmann/acurast-mcp-server>

## 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": "acurast"
    }
  }
}
```

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

---
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