Do I need to authenticate or provide API keys?
No, authentication is not required. All POTA endpoints are public and accessible without any credentials.
@qso-graph
Basic information
MCP server for Parks on the Air — park lookup, activator/hunter stats, spots
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"pota": {
"command": "pota-mcp"
}
}
}Current activator spots with park/grid enrichment and optional filters
Park details by reference code (name, grid, type, agencies, website)
Activation and QSO counts for a park
Activator/hunter stats by callsign
Upcoming scheduled activations
All parks in a state/province/country
Find parks near a point — great for 2-fer planning
Service version + upstream spec version (fleet identity attestation)
Pota Mcp is a Model Context Protocol (MCP) server that provides access to Parks on the Air (POTA) data, including live activator spots, park information, activator and hunter statistics, and scheduled activations. It is part of the qso-graph project and requires no authentication as all POTA endpoints are public.
Install with pip install pota-mcp, then configure it in any MCP-compatible client by adding a server entry with command pota-mcp. After restart, tools such as pota_spots, pota_park_info, and others appear automatically. No credentials are needed.
No, authentication is not required. All POTA endpoints are public and accessible without any credentials.
Set the environment variable `POTA_MCP_MOCK=1` before running `pota-mcp` to enable mock mode that simulates responses without hitting the live POTA API.
Start the server with `pota-mcp --transport streamable-http --port 8006`, then open the MCP Inspector at `http://localhost:8006`.
A curated list of references for MLOps
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
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Model Context Protocol Servers

Model Context Protocol Servers
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