MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
IOCs (URLs, domains, IPs, hashes) shared by the infosec community on X/Twitter. No auth, CC0.
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.
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Works in Claude on the web, desktop and mobile:
https://mcp.tweetfeed.live/Run this in your terminal
claude mcp add --transport http tweetfeed https://mcp.tweetfeed.live/Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"tweetfeed": {
"url": "https://mcp.tweetfeed.live/"
}
}
}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": {
"tweetfeed": {
"type": "http",
"url": "https://mcp.tweetfeed.live/"
}
}
}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.tweetfeed.live/Menu names can differ slightly by plan and over time.
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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 8, 2026
The registry name was verified with the GitHub account 0xDanielLopez, which owns the repo
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
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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 (0.1.0) reached the registry 4 months 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.
Model Context Protocol (MCP) server for [tweetfeed.live](https://tweetfeed.live).
Exposes the public IOC feed (URLs, domains, IPs, SHA256/MD5 hashes shared by the infosec community on Twitter/X) as MCP tools so AI agents can query threat intel programmatically.
https://mcp.tweetfeed.live/ (HTTP JSON-RPC 2.0, POST)| Name | Purpose |
|---|---|
query_iocs | Query IOCs by time window (today/week/month) with optional user, tag, and type filters. |
check_url | Check whether a specific URL appears in the feed. |
check_ip | Check whether an IPv4/IPv6 address appears in the feed. |
check_hash | Check whether an MD5 or SHA-256 hash appears in the feed (type auto-detected). |
list_recent_iocs | List IOCs added since a given date, with optional type/tag filters. |
get_tag_info | Window aggregates plus recent IOCs for a tag (leading # optional). |
get_trending | Top tags and IOC-type distribution for a window (today/week/month/year). |
enrich_ioc | Exact lookup of an IOC (auto-detected type: url/domain/ip/md5/sha256) over the past 365 days, with AI/external-corroboration/net/domain-registration (reg, including the domain's age in days at first report and a newly_registered flag) context and campaign membership when available, plus an archive of history older than 365 days when it exists (can accompany a live match); falls back to a 30-day substring scan on a miss. |
get_campaigns | AI-clustered campaign groupings from the last 30 days, with optional brand and min-confidence filters. |
get_campaign_iocs | Full IOC membership (header + rows) of one campaign by id, with optional type filter and limit. |
get_trends | 31-day IOC trend analytics: daily volume by type, top moving tags week-over-week, most-abused TLDs, new vs recurring ratio, producer concentration. |
get_feed_status | Live pipeline health: freshness verdict per artifact (stale, age_seconds) and source coverage (which hashtag/account feeds delivered rows in the last 24h, which account feeds are dead). |
search | ChatGPT connector interface: find document ids (ioc: , tag: , campaign: ) for an IOC value, tag, campaign id or free text. |
fetch | ChatGPT connector interface: full document ({id, title, text, url, metadata}) for an id returned by search. |
Besides the 14 tools, the server exposes the feed as MCP resources (resources/list, resources/templates/list, resources/read): 7 static documents plus 2 URI templates, each returning the raw JSON of the matching api.tweetfeed.live document. Tools are the filtered, size-bounded path; resources are for clients that want a whole document (a status panel, a whole-window blocklist sync).
| URI | Content | ||||||
|---|---|---|---|---|---|---|---|
tweetfeed://status | Pipeline health plus per-source coverage (mirrors /v1/status, ~13 KB, refreshed every 15 min). | ||||||
tweetfeed://counts | Aggregate IOC counts per window/type/tag (mirrors /v1/counts, ~6 KB). | ||||||
tweetfeed://trends | 31-day trend analytics (mirrors /v1/trends, ~4 KB, daily). | ||||||
tweetfeed://campaigns | AI-clustered campaigns of the trailing 30 days (mirrors /v1/campaigns, ~300 KB, daily). | ||||||
tweetfeed://iocs/today | Every IOC row shared today (mirrors /v1/today, 50-250 KB by the end of the UTC day). | ||||||
tweetfeed://iocs/week | Last 7 days (mirrors /v1/week, 1-1.5 MB). | ||||||
tweetfeed://iocs/month | Last 30 days (mirrors /v1/month, 2-3 MB, API caps at 10,000 rows). | ||||||
tweetfeed://iocs/{time}/{type} | Template - time: today\ | week\ | month, type: url\ | domain\ | ip\ | sha256\ | md5 (mirrors /v1/{time}/{type}). |
tweetfeed://campaigns/{id} | Template - id = tfc- plus 12 hex chars (mirrors /v1/campaigns/{id}). |
An unknown URI or an expired campaign id returns JSON-RPC error -32002 "Resource not found".
Besides the 14 tools and the resources above, the server also speaks MCP prompts (prompts/list, prompts/get, params name and arguments as strings): ready-made recipes that chain several tool calls into one instruction sequence for the model to run and report back on. Where tools are chosen by the model and resources are raw documents, prompts are recipes the user invokes directly - they show up as slash commands in Claude Desktop and Claude Code.
| Name | Arguments | Purpose | |
|---|---|---|---|
triage_ioc | ioc (required), context (optional) | Step-by-step triage of one IOC (URL/domain/IP/MD5/SHA-256): enrichment, campaign membership, verdict and recommended action. | |
daily_brief | window (optional, today default \ | week) | Short brief: feed health, volume and mix, moving tags, active high-confidence campaigns, abused TLDs. |
campaign_summary | campaign_id (required, tfc- plus 12 hex) | Hand-off summary of one campaign: context, targeting, ATT&CK techniques, IOC breakdown, infrastructure, block-ready lists, CSV/STIX links. |
{
"mcpServers": { "tweetfeed": { "url": "https://mcp.tweetfeed.live/" } } }
Or from the Claude Code CLI:
claude mcp add tweetfeed https://mcp.tweetfeed.live/
ChatGPT (Settings > Connectors > Create, or a Deep research custom connector) accepts https://mcp.tweetfeed.live/ with no authentication. The server exposes the required search and fetch tools alongside the others, and every result carries a tweetfeed.live URL so ChatGPT can cite it.
curl -sX POST https://mcp.tweetfeed.live/ \
-H 'content-type: application/json' \ -d '{"jsonrpc":"2.0","method":"tools/list","id":1}' | jq .
curl -sX POST https://mcp.tweetfeed.live/ \ -H 'content-type: application/json' \ -d '{"jsonrpc":"2.0","method":"tools/call","id":2, "params":{"name":"query_iocs", "arguments":{"time":"today","tag":"phishing","type":"url","limit":5}}}' | jq .
curl -sX POST https://mcp.tweetfeed.live/ \ -H 'content-type: application/json' \ -d '{"jsonrpc":"2.0","method":"resources/read","id":3, "params":{"uri":"tweetfeed://status"}}' | jq .
curl -sX POST https://mcp.tweetfeed.live/ \ -H 'content-type: application/json' \ -d '{"jsonrpc":"2.0","method":"prompts/get","id":4, "params":{"name":"triage_ioc","arguments":{"ioc":"example.com"}}}' | jq .
npm install
npm run dev # wrangler dev on http://localhost:8787 MCP_URL=http://localhost:8787 npm test
npm run deploy # wrangler deploy (routes mcp.tweetfeed.live/*)
MCP_URL=https://mcp.tweetfeed.live npm test