# envbert-mcp

> envbert-mcp — afreenaman-envbert-mcp. Use this tool when you need to classify environmental data using the EnvBERT EDD model, solving problems related to environmental data analysis and processing. It exposes the classification capabilities to Claude, taking in environmental data as input and outputting classified results. Ideal for use cases requiring accurate environmental data classification, such as data analysis and research applications.

Canonical page: https://skillsregistry.net/skills/afreenaman-envbert-mcp  
JSON: https://api.skillsregistry.net/v1/skills/afreenaman-envbert-mcp

## Description

MCP server exposing envbert EDD classification to Claude.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/AfreenAman/envbert-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": "afreenaman-envbert-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/afreenaman-envbert-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/afreenaman-envbert-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