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Wspr MCP

by qso-graphversion 0.6.1i★ –iRuns on your computer
Registry nameio.github.qso-graph/wspr-mcp

Install

Overview

Description from the maker (original English)

WSPR beacon analytics MCP server. Band openings, path analysis, solar correlation.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Marketing & social media

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "wspr": {
      "command": "uvx",
      "args": [
        "wspr-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add wspr -- uvx wspr-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "wspr": {
      "command": "uvx",
      "args": [
        "wspr-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "wspr": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "wspr-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account qso-graph, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Marketing & social mediai

  • More stars than 0% of the other 2980 servers in this category
  • Published to the registry more recently than 79% of the other 2980 servers in this category
  • Basic checks equal to or better than 100% of the other 2980 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Wspr MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.6.1) reached the registry 9 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

wspr-mcp

MCP server for WSPR (Weak Signal Propagation Reporter) beacon data — live spots, band activity, top beacons, propagation paths, SNR trends, and more through any MCP-compatible AI assistant.

Data from wspr.live (~2.7 billion spots, 2008-present). Part of the qso-graph project. No authentication required — all public data.

Install

uvx wspr-mcp            # run it; nothing to install

Tools

ToolDescriptionKey Parameters
wspr_spotsRecent WSPR spots with flexible filteringcallsign, band, hours, grid, min/max SNR, min distance
wspr_band_activityPer-band spot counts, station counts, distances, and SNRhours
wspr_top_beaconsTop transmitters ranked by spot count or max distanceband, hours, sort_by (spots/distance), limit
wspr_top_spottersTop receivers ranked by spot count or max distanceband, hours, sort_by (spots/distance), limit
wspr_propagationPropagation between two locations — auto-widens to field-level proxy for sparse endpointstx, rx, band, hours
wspr_grid_activityAll WSPR activity in/out of a Maidenhead grid squaregrid (2 or 4 char), band, hours
wspr_longest_pathsLongest distance WSPR paths in a time windowband, hours, min_distance, limit
wspr_snr_trendHourly SNR trend for a specific path over timetx, rx, band, hours
get_version_infoService version + upstream spec version (fleet identity attestation)—

What is WSPR?

WSPR beacons transmit a 2-minute encoded signal at very low power (typically 200 mW to 5 W). Each decoded spot proves a propagation path exists between two locations on a specific band. With thousands of beacons worldwide transmitting 24/7, WSPR provides continuous, automated propagation monitoring across all HF bands.

Good Neighbour Policy

wspr.live is a volunteer-run service that mirrors all wsprnet.org data into a public ClickHouse database. We take our responsibility as a good neighbour seriously:

MeasureDetail
Rate limiting3 seconds between requests (20 req/min max)
Circuit breakerOpens after 3 consecutive failures; exponential backoff up to 5 minutes. Prevents hammering a struggling service.
Time-bounded queriesEvery query filters by time (max 72 hours). No unbounded full-table scans.
Band filteringQueries filter by band whenever the user provides one — this hits wspr.live's indexes efficiently.
Column selectionWe SELECT only the columns each tool needs (8-10 per query), never SELECT *.
Result limitsAll queries cap results (200 spots, 50 leaderboard entries).
Response caching2-10 minute TTL per tool. Identical queries within the window hit local cache with zero network traffic.
Request timeout20-second timeout — we don't hold connections open on a shared service.
User-Agent headerEvery request identifies itself as wspr-mcp/{version} so the operators can reach us if needed.

If wspr.live is down or overloaded, the circuit breaker backs off automatically. We don't retry in a tight loop.

Quick Start

No credentials needed — just install and configure your MCP client.

Configure your MCP client
Claude Desktop

Add to claude_desktop_config.json (~/Library/Application Support/Claude/ on macOS, %APPDATA%\Claude\ on Windows):

{

"mcpServers": { "wspr": { "command": "uvx", "args": ["wspr-mcp"] } } }

Claude Code

Add to .claude/settings.json:

{

"mcpServers": { "wspr": { "command": "uvx", "args": ["wspr-mcp"] } } }

ChatGPT Desktop
{

"mcpServers": { "wspr": { "command": "uvx", "args": ["wspr-mcp"] } } }

Cursor

Add to .cursor/mcp.json (project-level) or ~/.cursor/mcp.json (global):

{

"mcpServers": { "wspr": { "command": "uvx", "args": ["wspr-mcp"] } } }

VS Code / GitHub Copilot

Add to .vscode/mcp.json in your workspace:

{

"servers": { "wspr": { "command": "uvx", "args": ["wspr-mcp"] } } }

Gemini CLI

Add to ~/.gemini/settings.json (global) or .gemini/settings.json (project):

{

"mcpServers": { "wspr": { "command": "uvx", "args": ["wspr-mcp"] } } }

Ask questions

"Show me recent WSPR spots on 20m"

"What bands are open right now?"

"Who are the top WSPR beacons on 20m today?"

"What are the longest WSPR paths in the last 24 hours?"

"Is there propagation between Idaho (DN13) and central Europe (JN48)?"

"Any WSPR paths between DN13 and Bouvet (JD15)?" *(auto-widens to DN↔JD if no exact match)*

"What's happening in grid square JN48?"

"How's the SNR trending between K9AN and G8JNJ on 20m?"

"Who are the best WSPR receivers sorted by distance?"

Testing Without Network

WSPR_MCP_MOCK=1 wspr-mcp

MCP Inspector

wspr-mcp --transport streamable-http --port 8009

Development

git clone https://github.com/qso-graph/wspr-mcp.git

cd wspr-mcp uv sync --group dev uv run pytest

License

GPL-3.0-or-later

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