MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
作者提供的说明(英文原文)
Free anonymous selections from released European IP profiles, rankings, and market statistics.
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 …”。
适用于网页版、桌面版和手机版 Claude:
https://mcp.iprate.eu/mcp在终端中运行这条命令
claude mcp add --transport http ip-analytics https://mcp.iprate.eu/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"ip-analytics": {
"url": "https://mcp.iprate.eu/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": {
"ip-analytics": {
"type": "http",
"url": "https://mcp.iprate.eu/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。
ChatGPT 只能连接互联网上的服务器:
https://mcp.iprate.eu/mcp菜单名称可能因套餐和版本不同而略有差异。
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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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
注册名称已通过域名 iprate.eu 验证(注册中心会核实域名所有权)
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
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.4.0)于34天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
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。
Open-source adapter for IPRATE's anonymous, read-only MCP endpoint:
https://mcp.iprate.eu/mcp
The production endpoint is the Cloudflare Worker in worker/. It exposes bounded selections from one completed IPRATE static release through six tools:
find_ip_representativesget_ip_representative_profileget_ip_market_snapshotget_iprate_coveragesearch and fetch, the retrieval pair ChatGPT deep research and company knowledge call (at most ten document references per search, one document per fetch)Every tool declares an output schema. The Python package in src/ is the self-host reference implementation of the first four tools.
Free path, no account and no key.
Claude Code:
claude mcp add --transport http iprate https://mcp.iprate.eu/mcp
Claude Desktop and claude.ai: Settings, Connectors, add a custom connector with the URL https://mcp.iprate.eu/mcp.
Cursor (~/.cursor/mcp.json):
{ "mcpServers": { "iprate": { "url": "https://mcp.iprate.eu/mcp" } } }
ChatGPT: a developer-mode custom connector for one user, or a workspace connector added by a Business or Enterprise admin. Deep research uses the search and fetch tools.
OpenAI Responses API:
{ "type": "mcp", "server_label": "iprate", "server_url": "https://mcp.iprate.eu/mcp", "require_approval": "never" }
Paid Data API path, with the key issued in your IPRATE account:
claude mcp add --transport http iprate-data https://mcp.iprate.eu/data-api/mcp --header "X-IPRATE-API-Key: YOUR_KEY"
Prices and the order flow are on https://iprate.eu/developers/data-api/. The setup page with the same steps is https://iprate.eu/developers/mcp/.
The same Worker also contains a separate paid Data API adapter at:
https://mcp.iprate.eu/data-api/mcp
It exposes the eight Data API v1 tools: get_coverage, resolve_entity, get_portfolio, get_trademark, search_trademarks, find_representative, get_firm_profile, and create_watch. Custom MCP clients send an issued API credential as X-IPRATE-API-Key. This is an explicit API-key adapter contract; it does not accept or forward OAuth bearer tokens. The backend rechecks scopes, office and field entitlements, quotas, idempotency, and billing for every tool call. create_watch is marked as a persistent write requiring client confirmation. Returned register text is quoted untrusted data.
When the DATA_API_WORKER_SECRET secret binding is configured (wrangler secret put DATA_API_WORKER_SECRET, the same value as the API's DATA_API_WORKER_SECRET), every relayed request carries the end client's address in X-IPRATE-Client-IP with X-IPRATE-Worker-Timestamp and an HMAC-SHA256 X-IPRATE-Worker-Signature over . , so the API's pre-authentication limiter buckets by end client instead of the Worker's egress address. Without the secret the headers are omitted and the API applies its shared relay bucket.
It has no database, ORM, SQL, database credential, application-API fallback, or private IPRATE package dependency. Ratings and statistics are copied from released JSON assets; they are never recomputed by the MCP service. Anonymous calls are rate limited in memory (HTTP 429 with Retry-After; results are never silently truncated), and GET /healthz reports whether one internally consistent release is servable.
Set IPRATE_MCP_ASSET_ROOT to a completed /data/v1-shaped release directory containing manifest.json, the released cohort and global assets, and mcp/v0.1/catalog.json. Set IPRATE_MCP_ASSET_BASE_URL to the public URL used in source citations.
The catalogue is derived only from static profile assets:
iprate-free-mcp-build-catalog /path/to/data/v1
The builder fails if required indexes are missing, checksums differ, profile counts do not match the release manifest, or a profile asset is unreadable. It never imports or connects to IPRATE's database, API, models, or pipeline.
In production the adapter never reads the live, mutating export tree. A refresher (iprate-free-mcp-refresh-release) watches the live manifest.json and, when a new release_id appears, copies every manifest-declared asset into an immutable per-release snapshot (checksum-verified against the manifest), builds the catalogue inside that snapshot, and atomically repoints a current symlink. The server keeps serving the previous complete release until the next one is activated; a release that changes while it is being snapshotted is abandoned and retried on the next pass. Snapshots contain no entity profile files — profile data enters only through the derived catalogue — and the catalogue is never written into the publicly served tree.
python -m venv .venv
.venv/bin/pip install -e ".[dev]" .venv/bin/pytest .venv/bin/ruff check .
Run the adapter against a compatible static release:
export IPRATE_MCP_ASSET_ROOT=/path/to/data/v1
export IPRATE_MCP_ASSET_BASE_URL=https://iprate.eu/data/v1 iprate-free-mcp
The local endpoint is http://127.0.0.1:8000/mcp; liveness is GET /healthz.
compose.yaml runs two hardened services built from the same image:
mcp — the server, unprivileged and read-only, mounting only the snapshot directory (read-only) and serving IPRATE_MCP_ASSET_ROOT=/data/current. It joins the existing runtime_default network for Cloudflare Tunnel routing and publishes no host port.refresher — the snapshot builder, with network_mode: none, mounting the live export tree read-only and the snapshot directory read-write.docker compose up -d --build
Environment overrides: IPRATE_STATIC_ROOT (live export tree), IPRATE_MCP_RELEASES_ROOT (snapshot directory), IPRATE_MCP_REFRESH_UID/GID (owner of the snapshot directory), IPRATE_MCP_RATE_LIMIT_PER_MINUTE (default 120). Neither service receives a database or application secret.
Documentation: https://iprate.eu/developers/mcp/
The Worker serves POST /mcp, GET /healthz, and the OpenAI domain-verification token at GET /.well-known/openai-apps-challenge. It reads one immutable release from the private R2 bucket that the release builder (iprate-free-mcp-build-worker-release) fills.
cd worker
npm ci npx tsc --noEmit npx vitest run
Response contract since 0.4.0: responses state the release through release_id and as_of. They no longer carry release incident records, the release status word, or a release-age notice. hold_state still reports held or partial.
The domain-verification token is a Worker variable. When the OpenAI plugin portal issues it, add OPENAI_APPS_CHALLENGE = " " under [vars] in worker/wrangler.toml before deploying; wrangler deploy replaces variables set only in the dashboard. Without the variable the path answers 404.
plugin/ is the package uploaded to the OpenAI plugin portal (Agent Plugins format): plugin.json with listing, review cases and release notes under extensions.com.openai, mcp.json pointing at the production endpoint, the select-european-ip-counsel skill, and the logo. tests/test_plugin_package.py checks the portal's field limits and that the review cases name the Worker's actual tools.
Build the upload from the folder contents, not the folder itself:
python -c "import pathlib, zipfile; root = pathlib.Path('plugin'); z = zipfile.ZipFile('dist/iprate-plugin.zip', 'w', zipfile.ZIP_DEFLATED); [z.write(p, p.relative_to(root).as_posix()) for p in sorted(root.rglob('*')) if p.is_file()]; z.close()"
The video walkthrough URL (review.demo_recording_url) and any country allowlist (publication.countries) are added before submission. Reviewer credentials are not needed: the server is anonymous.
Adapter code is Apache-2.0. IPRATE data and website content have separate terms and licences; this code licence does not grant rights to them or to IPRATE trademarks.