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Wspr MCP Server

@qso-graph

基本信息

分类

其他

传输方式

stdio

作者

qso-graph

提交者

Greg Beam

关于 Wspr MCP Server

MCP server for WSPR (Weak Signal Propagation Reporter) beacon data — live spots, callsign activity, per-band activity, longest paths, and grid-to-grid propagation analysis through any MCP-compatible AI assistant.

Wspr MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "wspr": {
      "command": "wspr-mcp"
    }
  }
}

Wspr MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Wspr Mcp?

Wspr Mcp is an MCP server that provides WSPR beacon analytics for continuous automated propagation monitoring. It integrates with the wspr.live dataset (~2.7B spots, 2008–present) and is intended for amateur radio operators and propagation analysts.

How to use Wspr Mcp?

Install via pip: pip install wspr-mcp. Invoke the server to expose tools for querying WSPR spot data, band activity, propagation paths, and SNR trends.

Key features of Wspr Mcp

  • Query recent WSPR spots with filters (callsign, band, grid, SNR, distance)
  • Per-band activity summary (spot counts, stations, distances, SNR)
  • Top transmitters and top receivers ranked by spots or distance
  • Band-by-band propagation analysis between two endpoints
  • Maidenhead grid square activity reports
  • Longest path detection (24–72h) confirming open bands
  • Hourly SNR trend tracking for a specific path

Use cases of Wspr Mcp

  • Monitor real-time propagation conditions across multiple HF bands
  • Identify which beacons and receivers are most active
  • Verify long-distance propagation openings for DXing
  • Analyze SNR trends to assess path stability over time
  • Explore activity in and out of specific Maidenhead grid squares

常见问题

1

What data source does Wspr Mcp use?

It uses the wspr.live database, containing approximately 2.7 billion spots from 2008 to the present.

2

What tools are available?

Eight tools: wspr_spots, wspr_band_activity, wspr_top_beacons, wspr_top_spotters, wspr_propagation, wspr_grid_activity, wspr_longest_paths, wspr_snr_trend.

3

How do I install Wspr Mcp?

Install it via pip: `pip install wspr-mcp`.

4

What kind of filters can I apply to spot queries?

Filters include callsign, band, grid square, SNR, and distance.

5

Does Wspr Mcp require any external API keys or authentication?

The README does not mention any authentication requirements; all data is sourced from the public wspr.live dataset.

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