aruba-central-mcp

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MCP server for Aruba Central (GreenLake New Central API).

Exposes access point, switch, and wireless client status to MCP-compatible AI assistants (Claude Code, Claude Desktop, etc.) via STDIO transport.

Features

Access Points

Clients

Infrastructure

Highlights

• Server-side OData filtering for efficient queries

• OAuth2 Client Credentials authentication (GreenLake SSO)

• Automatic pagination for large result sets

• Token auto-refresh before expiration

• Lightweight: only mcp SDK + httpx (no pandas)

Related MCP server: mcp-connector-for-akamai

Prerequisites

• Python 3.10+

• Aruba Central account with API access (GreenLake New Central API)

• OAuth2 client credentials (client ID and secret)

Setup

# uv
uv pip install aruba-central-mcp

# pip
pip install aruba-central-mcp

Or run without installing:

uvx aruba-central-mcp

From source:

git clone https://github.com/shigechika/aruba-central-mcp.git
cd aruba-central-mcp

# uv
uv sync

# pip
pip install -e .

Configuration

Set the following environment variables:

How to obtain API credentials

1. Log in to HPE GreenLake Platform

2. Go to Manage Workspace > Personal API clients

3. Click Create Personal API client

4. Enter a nickname and select Aruba Central as the service

5. Copy the client_id and client_secret — the secret is shown only once

For details, see:

• OAuth APIs for Access Token

• Making API Calls

Usage

Claude Code

claude mcp add aruba-central \
  -e ARUBA_CENTRAL_BASE_URL=apigw-uswest4.central.arubanetworks.com \
  -e ARUBA_CENTRAL_CLIENT_ID=your-client-id \
  -e ARUBA_CENTRAL_CLIENT_SECRET=your-client-secret \
  -- uvx aruba-central-mcp

Or add to .mcp.json:

{
  "mcpServers": {
    "aruba-central": {
      "command": "uvx",
      "args": ["aruba-central-mcp"],
      "env": {
        "ARUBA_CENTRAL_BASE_URL": "apigw-uswest4.central.arubanetworks.com",
        "ARUBA_CENTRAL_CLIENT_ID": "your-client-id",
        "ARUBA_CENTRAL_CLIENT_SECRET": "your-client-secret"
      }
    }
  }
}

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "aruba-central": {
      "command": "uvx",
      "args": ["aruba-central-mcp"],
      "env": {
        "ARUBA_CENTRAL_BASE_URL": "apigw-uswest4.central.arubanetworks.com",
        "ARUBA_CENTRAL_CLIENT_ID": "your-client-id",
        "ARUBA_CENTRAL_CLIENT_SECRET": "your-client-secret"
      }
    }
  }
}

Direct execution

export ARUBA_CENTRAL_BASE_URL="apigw-uswest4.central.arubanetworks.com"
export ARUBA_CENTRAL_CLIENT_ID="your-client-id"
export ARUBA_CENTRAL_CLIENT_SECRET="your-client-secret"
python3 -m aruba_central_mcp

CLI Options

aruba-central-mcp --version   # Print version and exit
aruba-central-mcp --help      # Show usage and required environment variables
aruba-central-mcp --check     # Verify environment variables and OAuth2 authentication, then exit
aruba-central-mcp             # Start MCP server (STDIO, default)

With no options, the process runs as an MCP STDIO server (the mode used by MCP clients).

--check exit codes: 0 success, 1 config error, 2 auth error.

Development

git clone https://github.com/shigechika/aruba-central-mcp.git
cd aruba-central-mcp

# uv
uv sync --dev
uv run pytest -v

# pip
python3 -m venv .venv
.venv/bin/pip install -e ".[test]"
.venv/bin/pytest -v

Live smoke test

The unit suite mocks Central at the transport layer, which is what makes it fast — and also what makes it blind to a tool that has stopped returning real data. scripts/smoke_test.py runs every registered tool against the configured tenant and fails on empty, malformed or error answers:

# needs the same ARUBA_CENTRAL_* environment variables as the server
uv run python scripts/smoke_test.py
uv run python scripts/smoke_test.py --only radios --traceback

• Read-only. Every tool here reads; nothing in Central is configured. A future tool that writes must be listed as state-changing and skipped, and a test enforces that.

• No payloads in the report. Tool names, statuses and row counts only; error text is redacted too, since an error routinely quotes the device, client MAC or site it was asked about.

• Nothing network-specific in the specs. The AP, the serial number and the client MAC that the per-device tools need are discovered at run time from the listings, and skipped when the network has none to offer. Two tests keep it that way: one refuses those parameters as literals, the other bans anything address-shaped anywhere in the file, because this repository is public.

• Empty answers pass for the listings and the time-series tools — a site with no swarms configured is a real deployment — but a lookup handed a name discovered seconds earlier must not come back empty, and those probes say so.

• CI enforces the cheap half: a tool registered without a probe spec fails the build (tests/test_smoke_probes.py), so adding a tool forces the question "how would we know it works?".

• scripts/smoke_harness.py is the engine and holds no Central knowledge: it is kept identical across the servers that share it, so fix engine bugs once and sync the file rather than patching this copy.

Its first run found a real one: get_client_mobility_trail was requesting a page size the endpoint rejects, so the tool had been failing for every client.

API Reference

This server uses the GreenLake New Central API:

• /network-monitoring/v1/aps — Access points

• /network-monitoring/v1/radios — AP radios

• /network-monitoring/v1/bssids — BSSIDs

• /network-monitoring/v1/wlans — WLANs

• /network-monitoring/v1/swarms — AP swarms/clusters

• /network-monitoring/v1/switches — Switches

• /network-monitoring/v1/clients — Clients

• /network-monitoring/v1/clients-trend — Client count trends

• /network-monitoring/v1/clients-topn-usage — Top clients by usage

• /network-monitoring/v1/top-aps-by-usage — Top APs by usage

License

MIT