# Buva EcoStream MCP Server

> Use this tool when you need to control and monitor ventilation units remotely, solving issues with air quality management and fan setting adjustments. It takes natural language inputs and provides air quality data outputs, enabling efficient management of Buva EcoStream WTW units. Ideal for use in settings requiring automated ventilation control and real-time air quality monitoring.

Canonical page: https://skillsregistry.net/skills/kalmma-buva-ecostream-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kalmma-buva-ecostream-mcp

## Description

Enables controlling and monitoring a Buva EcoStream WTW ventilation unit via natural language, including reading air quality data and adjusting fan settings.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/soef9oycbq)
- **Repository:** <https://github.com/kalmma/buva-ecostream-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": "kalmma-buva-ecostream-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kalmma-buva-ecostream-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kalmma-buva-ecostream-mcp/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