AI Wave is answering right now. Last checked 3 min ago. 74 installs a week from npm. It exposes 8 tools. Last commit 11 Sep 2026.
AI model releases, price changes and deprecations in one feed: chat, embedding, speech, video.
Installs per day
peak 19 · avg 6 · +185% w/w
a month agotoday
Uptime history
53 days of history · worst day 77%
53 days agonow
100.0%
Uptime 24h
91 of 91 checks
8
Tools
read from the server
961 ms
Response time
average over 24h
74
Installs / week
npm and PyPI
What changed 15
Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 13 September 2026. No other catalogue keeps this.
13 Oct
a tool changed version
16 Sep
6 tool descriptions were rewritten7 times that day
compare_models, find_replacement, get_price_history and 3 more
16 Sep
a tool changed the parameters it asks for
search_models
16 Sep
a tool changed version
15 Sep
2 tools appeared
find_replacement, get_today
15 Sep
a tool changed the parameters it asks for2 times that day
search_models
13 Sep
a tool changed the parameters it asks for
search_models
and 2 more, back to 13 September 2026
Nothing serious here today
Today is the operative word: we check AI Wave every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
Connect this server
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.
run in your terminal
claude mcp add ai-wave --transport http https://aiwave.elopstudio.com/api/mcpSettings → Connectors → Add custom connector, then paste this address
https://aiwave.elopstudio.com/api/mcp~/.codex/config.toml
[mcp_servers.ai-wave]
url = "https://aiwave.elopstudio.com/api/mcp".cursor/mcp.json
{
"mcpServers": {
"ai-wave": {
"url": "https://aiwave.elopstudio.com/api/mcp"
}
}
}.vscode/mcp.json
{
"servers": {
"ai-wave": {
"type": "http",
"url": "https://aiwave.elopstudio.com/api/mcp"
}
}
}Available tools 8
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
model
get_model
Pricing, context length and catalog status for one model. Accepts an OpenRouter id (anthropic/claude-opus-5) or a Hugging Face repo id.
list_model_changes
Changes across AI models: new releases, price changes, API changes and deprecations. Normalized from vendor release notes, Hugging Face, the OpenRouter catalog, GitHub and the LiteLLM price map, deduplicated per model, each marked official or pending review. Poll with `since` (unix seconds) and feed the returned `latest` back next time.
compare
compare_models
Put two or more models side by side: price, context, benchmark scores per subject, and what each costs per month at a given volume. Use this instead of calling get_model repeatedly: it aligns the fields and marks which subjects a model has not been tested on, so a missing score is not read as a low one.
estimate
estimate_cost
What one model costs per month at a given token volume, in USD and KRW. Token prices are per million and hard to reason about directly; this turns them into a monthly bill. Input and output are mixed 75/25 unless you pass your own split.
models
search_models
Shortlist models by budget, context and capability, ranked by measured performance. Use this to answer 'which model should I use for X': it returns benchmark scores alongside price so the trade-off is visible in one call. Sort by a subject (math, coding, science, reading) to find a model good at one thing.
price
get_price_history
Price history for one model: when the price changed and to what. The public catalog only exposes the current price, so this answers 'was this cheaper last month?'. Each entry holds until the next one. History starts when AI Wave began recording, not when the model launched.
replacement
find_replacement
What to switch to when a model is gone or you need a fallback. Ranked by closeness in measured performance, not by vendor or price: what you usually need to preserve first is the quality of the output. Candidates whose context window is less than half the original are excluded. Returns the score, price and context deltas so you can judge; we do not pick for you.
today
get_today
Today in one call: the top 5 models, which ones climbed, whose pricing changed in the last 24h, and what was newly listed in the last 7 days. Use this instead of paging list_model_changes and re-deriving the summary: price changes are already collapsed to one per model, with the raw count kept.
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://aiwave.elopstudio.com/api/mcp | streamable-http | answering | 986 ms | 3 min ago |
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AI Wave — questions
Answers built from our own checks of this server.
What can AI Wave do?
It exposes 8 tools, read directly from the server on our last check. Among them: compare_models, estimate_cost, find_replacement, get_model, get_price_history, get_today and 2 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 →
Is AI Wave working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 961 ms. The bar chart above shows every period we have measured.
How do I connect AI Wave?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does AI Wave need an API key?
No. AI Wave completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 8 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is AI Wave?
It answers our handshake in 961 ms on average, which is faster than 7% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use AI Wave?
The npm package @elopstudio/ai-wave-mcp was installed 74 times in the last week. Week over week that is +185%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is AI Wave open source?
The code is open source: it is published under the MIT licence, written in JavaScript and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at aiwave.elopstudio.com, which runs on its operator's own terms.