# Hive Compute

> Use this tool when you need to harness the collective computing power of idle machines on a local network to accelerate task execution and distribute workloads. Hive Compute solves problems of underutilized resources and slow task processing by creating a unified compute pool accessible via a simple interface. It accepts Python or shell tasks as input and outputs distributed computing results, ideal for use cases requiring high-performance processing and scalability.

Canonical page: https://skillsregistry.net/skills/saikodi-hive-compute  
JSON: https://api.skillsregistry.net/v1/skills/saikodi-hive-compute

## Description

Turns idle LAN machines into a unified compute pool accessible via MCP. Submit Python or shell tasks, distribute work across workers using mDNS zero-config discovery, and monitor cluster status. Features shared secret authentication, subprocess isolation, priority queues, and auto-reconnect.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/saikodi-hive-compute)
- **Repository:** <https://github.com/saikodi/hive-compute-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": "saikodi-hive-compute"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/saikodi-hive-compute` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/saikodi-hive-compute/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
