MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
WSPR beacon analytics MCP server. Band openings, path analysis, solar correlation.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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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-mcpPaste 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.
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.
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Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account qso-graph, which owns the repo
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This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
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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).
The GitHub repo last changed –, and the latest version (0.6.1) reached the registry 9 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
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.
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.
uvx wspr-mcp # run it; nothing to install
| Tool | Description | Key Parameters |
|---|---|---|
wspr_spots | Recent WSPR spots with flexible filtering | callsign, band, hours, grid, min/max SNR, min distance |
wspr_band_activity | Per-band spot counts, station counts, distances, and SNR | hours |
wspr_top_beacons | Top transmitters ranked by spot count or max distance | band, hours, sort_by (spots/distance), limit |
wspr_top_spotters | Top receivers ranked by spot count or max distance | band, hours, sort_by (spots/distance), limit |
wspr_propagation | Propagation between two locations — auto-widens to field-level proxy for sparse endpoints | tx, rx, band, hours |
wspr_grid_activity | All WSPR activity in/out of a Maidenhead grid square | grid (2 or 4 char), band, hours |
wspr_longest_paths | Longest distance WSPR paths in a time window | band, hours, min_distance, limit |
wspr_snr_trend | Hourly SNR trend for a specific path over time | tx, rx, band, hours |
get_version_info | Service version + upstream spec version (fleet identity attestation) | — |
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.
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:
| Measure | Detail |
|---|---|
| Rate limiting | 3 seconds between requests (20 req/min max) |
| Circuit breaker | Opens after 3 consecutive failures; exponential backoff up to 5 minutes. Prevents hammering a struggling service. |
| Time-bounded queries | Every query filters by time (max 72 hours). No unbounded full-table scans. |
| Band filtering | Queries filter by band whenever the user provides one — this hits wspr.live's indexes efficiently. |
| Column selection | We SELECT only the columns each tool needs (8-10 per query), never SELECT *. |
| Result limits | All queries cap results (200 spots, 50 leaderboard entries). |
| Response caching | 2-10 minute TTL per tool. Identical queries within the window hit local cache with zero network traffic. |
| Request timeout | 20-second timeout — we don't hold connections open on a shared service. |
| User-Agent header | Every 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.
No credentials needed — just install and configure your MCP client.
Add to claude_desktop_config.json (~/Library/Application Support/Claude/ on macOS, %APPDATA%\Claude\ on Windows):
{
"mcpServers": { "wspr": { "command": "uvx", "args": ["wspr-mcp"] } } }
Add to .claude/settings.json:
{
"mcpServers": { "wspr": { "command": "uvx", "args": ["wspr-mcp"] } } }
{
"mcpServers": { "wspr": { "command": "uvx", "args": ["wspr-mcp"] } } }
Add to .cursor/mcp.json (project-level) or ~/.cursor/mcp.json (global):
{
"mcpServers": { "wspr": { "command": "uvx", "args": ["wspr-mcp"] } } }
Add to .vscode/mcp.json in your workspace:
{
"servers": { "wspr": { "command": "uvx", "args": ["wspr-mcp"] } } }
Add to ~/.gemini/settings.json (global) or .gemini/settings.json (project):
{
"mcpServers": { "wspr": { "command": "uvx", "args": ["wspr-mcp"] } } }
"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?"
WSPR_MCP_MOCK=1 wspr-mcp
wspr-mcp --transport streamable-http --port 8009
git clone https://github.com/qso-graph/wspr-mcp.git
cd wspr-mcp uv sync --group dev uv run pytest
GPL-3.0-or-later