Pota Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Pota Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<!-- mcp-name: io.github.qso-graph/pota-mcp -->
MCP server for Parks on the Air (POTA) — live activator spots, park info, activator/hunter stats, and scheduled activations through any MCP-compatible AI assistant.
Part of the qso-graph project. No authentication required — all POTA endpoints are public.
pip install pota-mcp| Tool | Description |
|---|---|
pota_spots | Current activator spots with park/grid enrichment and optional filters |
pota_park_info | Park details by reference code (name, grid, type, agencies, website) |
pota_park_stats | Activation and QSO counts for a park |
pota_user_stats | Activator/hunter stats by callsign |
pota_scheduled | Upcoming scheduled activations |
pota_location_parks | All parks in a state/province/country |
pota_nearby_parks | Find parks near a point — great for 2-fer planning |
get_version_info | Service version + upstream spec version (fleet identity attestation) |
No credentials needed — just install and configure your MCP client.
pota-mcp works with any MCP-compatible client. Add the server config and restart — tools appear automatically.
#### Claude Desktop
Add to claude_desktop_config.json (~/Library/Application Support/Claude/ on macOS, %APPDATA%\Claude\ on Windows):
{
"mcpServers": {
"pota": {
"command": "pota-mcp"
}
}
}#### Claude Code
Add to .claude/settings.json:
{
"mcpServers": {
"pota": {
"command": "pota-mcp"
}
}
}#### ChatGPT Desktop
{
"mcpServers": {
"pota": {
"command": "pota-mcp"
}
}
}#### Cursor
Add to .cursor/mcp.json (project-level) or ~/.cursor/mcp.json (global):
{
"mcpServers": {
"pota": {
"command": "pota-mcp"
}
}
}#### VS Code / GitHub Copilot
Add to .vscode/mcp.json in your workspace:
{
"servers": {
"pota": {
"command": "pota-mcp"
}
}
}#### Gemini CLI
Add to ~/.gemini/settings.json (global) or .gemini/settings.json (project):
{
"mcpServers": {
"pota": {
"command": "pota-mcp"
}
}
}"What POTA activations are happening right now?"
"Tell me about park US-0001 — how many activations has it had?"
"What are K4SWL's POTA stats?"
"Show me all parks in Idaho"
"Are there any CW activators on 20m right now?"
"What activations are scheduled for tomorrow?"
For testing all tools without hitting the POTA API:
POTA_MCP_MOCK=1 pota-mcppota-mcp --transport streamable-http --port 8006Then open the MCP Inspector at http://localhost:8006.
git clone https://github.com/qso-graph/pota-mcp.git
cd pota-mcp
pip install -e .GPL-3.0-or-later
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.