Minutes of AI is answering right now. Last checked 9 min ago. It exposes 20 tools.
Read-only AI news with sources, Model Tracker prices, releases and retirement dates.
Uptime history
5 days of history · worst day 35%
5 days agonow
100.0%
Uptime 24h
92 of 92 checks
20
Tools
read from the server
212 ms
Response time
average over 24h
open, no key
Access
streamable-http
What changed 15
Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 8 October 2026. No other catalogue keeps this.
9 Oct
a tool appeared
list_deadlines
9 Oct
a tool description was rewritten
get_story
9 Oct
a tool changed the parameters it asks for
get_latest
8 Oct
10 tools appeared
check_model_ids, get_funding_rounds, get_price_history and 7 more
8 Oct
a tool changed version2 times that day
and 1 more, back to 8 October 2026
Minutes of AI does not always answer
Over the last week it answered 82.9% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.
Connect this server
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.
run in your terminal
claude mcp add mcp --transport http https://minutesofai.com/mcp~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"mcp": {
"url": "https://minutesofai.com/mcp"
}
}
}~/.codex/config.toml
[mcp_servers.mcp]
url = "https://minutesofai.com/mcp".cursor/mcp.json
{
"mcpServers": {
"mcp": {
"url": "https://minutesofai.com/mcp"
}
}
}.vscode/mcp.json
{
"mcpServers": {
"mcp": {
"url": "https://minutesofai.com/mcp"
}
}
}Available tools 20
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
model
check_model_ids
For each model id (as written in code): the Model Tracker row, its lifecycle status, retirement date and precision, replacement, source page and when it was last checked. Match order: exact API id, API id in another case, tracker slug, display name; `match` says which. Ids the tracker does not hold are returned with found: false.
get_model
One Model Tracker row plus its applied changelog.
get_model_tracker
Model Tracker rows: category, release date, lab, modalities, context window, prices per 1M text tokens, license, availability, benchmarks labelled by who ran them, per-field sources with as-of dates. Preview and dated snapshot variants are folded into one row.
price
get_price_history
One Model Tracker model's applied changes since 2026-10-05 (input, output and cached input price per 1M text tokens by default, or one field), each with its source URL and time, plus the price step series. Prices are decimal strings as stored.
price_changes_since
Applied Model Tracker price changes (input, output, cached input per 1M text tokens) since an ISO 8601 time, newest first, each with model, previous and new value as stored, source URL and time. History starts 2026-10-05.
compare
compare_models
Side-by-side Model Tracker rows for 2 to 6 model slugs.
corrections
get_corrections
Published corrections and retractions, newest first, optionally since an ISO 8601 time.
deadlines
list_deadlines
Scheduled dates in AI, soonest first: regulation and standards dates (each with its official source), model retirements and deprecations (Model Tracker), price changes. Each date has its precision (exact, month, quarter, not_before, earliest, tentative) and dateText as the source states it. Filter by kinds, jurisdictions (EU, US, US-CA, UK, CN, ...), entity (our entity slug), from_date (YYYY-MM-DD, default today) and days (default 365).
funding
get_funding_rounds
Funding rounds of AI companies that Minutes of AI reported, newest first: date, stage, amount, lead investors, the article FundingData cites, our story. Filter by company (name, or our entity slug) and/or since (YYYY-MM-DD, round date). Round data from FundingData (fundingdata.com), attributed per record.
latest
get_latest
Latest published stories, newest first, with status labels and sources (primary first).
releases
list_releases
Model releases dated at or after an ISO 8601 time, newest first: model, lab, kind (new, version, preview, ga, open_weights), status (confirmed: a primary source from the lab's own channel; reported: none yet), the lab's announcement time, the release date the lab's model page states, when and where the release was first seen, the first primary source, the story and every source. A value the sources give only as a date has precision "day" and is written YYYY-MM-DD.
resolve
resolve_model
A model name or API id to Model Tracker rows. Tiers, first that matches: API id, slug, display name, entity alias, then a substring of a name or API id (3+ characters). `match` names the tier.
retirements
list_retirements
Models with a retirement date on or before `before` (YYYY-MM-DD), soonest first, optionally for one lab: status, API id, date and precision, replacement, source. Tentative (not-before) dates are left out unless include_tentative is true.
stories
search_stories
Full-text search over published headlines and ledes.
story
get_story
One story with its full body (what changed, who it affects, key dates with precision, what happened, not yet known, why it matters, first reported by), sources, label history and corrections.
subscribe
subscribe_webhook
Requires an API key. Registers an https URL that receives a signed POST (Standard Webhooks: webhook-id, webhook-timestamp, webhook-signature) for each story event: story.published, story.updated, story.label_changed, story.corrected, story.retracted (default story.published, story.corrected, story.retracted). Optional filters: formats, topics, labels. Returns the subscription and its signing secret (whsec_...), shown only once. At most 5 per key; five failed attempts in a row or a 410 disable it.
the
get_the_number
The latest 'The Number' figure with its source, plus the previous nine.
unsubscribe
unsubscribe_webhook
Requires an API key. Deletes one of the key's webhook subscriptions by id, with its delivery log. Nothing more is sent to it.
webhooks
list_webhooks
Requires an API key. The webhook subscriptions of the key: URL, events, filters, status (a disabled one says why), failures in a row, last success and last error. Never the secret.
what
what_changed
Stories published, updated, relabelled, corrected or retracted since an ISO 8601 time (at most 7 days back), in pages of up to 500 events. If hasMore is true, call again with the same since and cursor=nextCursor. Poll this instead of re-reading the whole feed.
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://minutesofai.com/mcp | streamable-http | answering | 314 ms | 9 min ago |
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Minutes of AI — questions
Answers built from our own checks of this server.
What can Minutes of AI do?
It exposes 20 tools, read directly from the server on our last check. Among them: check_model_ids, compare_models, get_corrections, get_funding_rounds, get_latest, get_model and 14 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README.
How MCP servers expose tools in the first place →
What is Minutes of AI mostly used for?
Its tools cluster around model and price. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Minutes of AI working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 212 ms. The bar chart above shows every period we have measured.
How do I connect Minutes of AI?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Minutes of AI need an API key?
No. Minutes of AI completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 20 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Minutes of AI?
It answers our handshake in 212 ms on average, which is faster than 61% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.