MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Free anonymous selections from released European IP profiles, rankings, and market statistics.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Works in Claude on the web, desktop and mobile:
https://mcp.iprate.eu/mcpRun this in your terminal
claude mcp add --transport http ip-analytics https://mcp.iprate.eu/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ip-analytics": {
"url": "https://mcp.iprate.eu/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": {
"ip-analytics": {
"type": "http",
"url": "https://mcp.iprate.eu/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.
ChatGPT connects only to servers on the internet:
https://mcp.iprate.eu/mcpMenu names can differ slightly by plan and over time.
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.
We have not read this server’s tool list yet; we check endpoints in rotation.
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 against the domain iprate.eu (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (0.4.0) reached the registry 34 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
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.
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.