# hpe-edgeconnect-mcp

> hpe-edgeconnect-mcp — anderson-jason573-hpe-edgeconnect-mcp. Use this tool when you need to manage and monitor HPE Aruba EdgeConnect SD-WAN infrastructure, solve problems related to network configuration and optimization, and automate tasks such as listing appliances and changing tunnel state. It takes inputs like appliance IDs and tunnel settings, and outputs state information and configuration updates. Use it in contexts where programmable network management and automation are required, such as in large-scale enterprise networks or data centers.

Canonical page: https://skillsregistry.net/skills/anderson-jason573-hpe-edgeconnect-mcp  
JSON: https://api.skillsregistry.net/v1/skills/anderson-jason573-hpe-edgeconnect-mcp

## Description

MCP server that exposes HPE Aruba EdgeConnect Orchestrator SD-WAN infrastructure as LLM-callable tools for listing appliances, reading interface/tunnel/bandwidth state, and changing HPE SSE tunnel state.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f088czbjox)
- **Repository:** <https://github.com/anderson-jason573/hpe-edgeconnect-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": "anderson-jason573-hpe-edgeconnect-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anderson-jason573-hpe-edgeconnect-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anderson-jason573-hpe-edgeconnect-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