# Spheron Protocol

> Use this tool when you need to deploy and manage compute resources using natural language, solving infrastructure management complexities without requiring technical expertise. The Spheron Protocol integrates with AI assistants, taking YAML configurations or natural language requests as input and providing outputs such as wallet balances, deployment URLs, and lease details. It is ideal for use cases where simplified cloud compute resource management is necessary, handling BigInt serialization and environment variable configuration for seamless network selection and API endpoint management.

Canonical page: https://skillsregistry.net/skills/spheronfdn-spheron-protocol  
JSON: https://api.skillsregistry.net/v1/skills/spheronfdn-spheron-protocol

## Description

The Spheron Network MCP Plugin integrates with the Spheron Protocol SDK to enable AI assistants to deploy and manage compute resources through natural language. Built by Spheron Network, this server implementation allows users to deploy compute configurations using YAML (either directly provided or generated from natural language requests), check wallet balances for different tokens, retrieve deployment URLs, and fetch lease details. The plugin handles BigInt serialization for API responses and includes environment variable configuration for network selection and API endpoints, making it particularly useful for deploying and managing cloud compute resources without requiring technical expertise in infrastructure management.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/spheronfdn-spheron-protocol)
- **Repository:** <https://github.com/spheronfdn/spheron-mcp-plugin/tree/HEAD/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": "spheronfdn-spheron-protocol"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/spheronfdn-spheron-protocol` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/spheronfdn-spheron-protocol/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