MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
作者提供的说明(英文原文)
WSPR beacon analytics MCP server. Band openings, path analysis, solar correlation.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"wspr": {
"command": "uvx",
"args": [
"wspr-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add wspr -- uvx wspr-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"wspr": {
"command": "uvx",
"args": [
"wspr-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"wspr": {
"type": "stdio",
"command": "uvx",
"args": [
"wspr-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 qso-graph 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.6.1)于9天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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