# Virtual Engineer MCP Server

> Virtual Engineer MCP Server — benkipnis-virtual-engineer. Use this tool when you need to troubleshoot chiller issues with AI assistance, as it retrieves operational data, alarms, and service history from MongoDB Atlas and performs vector and hybrid search over knowledge bases. It solves problems related to chiller maintenance and repair by providing actionable insights and streamlining the troubleshooting process. Ideal for use in industrial settings where efficient chiller operation is critical, it accepts operational data as input and outputs detailed troubleshooting guidance.

Canonical page: https://skillsregistry.net/skills/benkipnis-virtual-engineer  
JSON: https://api.skillsregistry.net/v1/skills/benkipnis-virtual-engineer

## Description

Enables AI-assisted chiller troubleshooting by exposing MCP tools to retrieve operational data, alarms, telemetry, and service history from MongoDB Atlas, plus vector and hybrid search over knowledge bases.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rzx6pe745a)
- **Repository:** <https://github.com/benkipnis/virtual_engineer>

## 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": "benkipnis-virtual-engineer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benkipnis-virtual-engineer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benkipnis-virtual-engineer/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