# forge-sandbox

> forge-sandbox — foundrynet-forge-sandbox. Use this tool when you need to simulate industrial telemetry data without credentials or persistence, normalize vendor-specific machine data, or forecast breaches in a controlled environment. The forge-sandbox tool takes in vendor-specific machine data as input and outputs normalized, realistic equipment data, allowing for testing of integrations and forecasting of potential issues. It is ideal for use cases where secure, credential-free testing and data normalization are required.

Canonical page: https://skillsregistry.net/skills/foundrynet-forge-sandbox  
JSON: https://api.skillsregistry.net/v1/skills/foundrynet-forge-sandbox

## Description

A local, keyless MCP server simulating Forge's industrial telemetry kernel, enabling agents to normalize vendor-specific machine data, forecast breaches, and test integrations against realistic equipment data without credentials or persistence.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q6bym4vk7s)
- **Repository:** <https://github.com/FoundryNet/forge-sandbox>

## 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": "foundrynet-forge-sandbox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/foundrynet-forge-sandbox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/foundrynet-forge-sandbox/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