# @volter/tunnel-mcp

> Use this tool when you need to manage account operations, monitor usage, and prevent abuse for the Volter tunnel relay. It provides a functional interface for AI agents to handle relay management tasks, accepting input parameters for account and usage data, and outputting operational status and abuse reports. Ideal for use cases requiring automated tunnel relay management and optimization.

Canonical page: https://skillsregistry.net/skills/volter-ai-volter-tunnel  
JSON: https://api.skillsregistry.net/v1/skills/volter-ai-volter-tunnel

## Description

Enables AI agents to manage account, usage, and abuse operations for the Volter tunnel relay.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lj1b6hvt1o)
- **Repository:** <https://github.com/volter-ai/volter-tunnel>

## 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": "volter-ai-volter-tunnel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/volter-ai-volter-tunnel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/volter-ai-volter-tunnel/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