com.elopstudio.aiwavePublished by aiwave.elopstudio.comOfficial publisherv1.1.0Updated Oct 24, 2026
AI model releases, price changes and deprecations in one feed: chat, embedding, speech, video.
AI Wave tracks AI model releases, price changes and deprecations in one feed, letting an assistant check what changed, compare models and estimate costs.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/com.elopstudio.aiwave%2Fai-wave/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Add this to your client's mcpServers config.
{
"mcpServers": {
"ai-wave": {
"type": "http",
"url": "https://aiwave.elopstudio.com/api/mcp"
}
}
}MCP server for AI Wave — a normalized feed of AI model releases, price changes, API changes and deprecations, assembled from vendor release notes, Hugging Face, the OpenRouter catalog and GitHub.
Picking a model? Call the OpenRouter catalog directly — it is free and public.
This is for the other question: did anything I depend on change? New releases, price moves, and models being withdrawn, in one feed, deduplicated per model, each marked official or pending review.
Get a key at https://aiwave.elopstudio.com/member, then:
If your client supports remote MCP, prefer that — no install, always current:
Free tier: 1,000 calls/day. Remaining calls come back in x-ratelimit-remaining.
This package is a thin stdio wrapper around the remote endpoint — tool definitions live on the server, so you get new tools without updating it.
Source: README.md at commit a9433d5
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.
typelimitmodelsincePricing, context length and catalog status for one model. Accepts an OpenRouter id (anthropic/claude-opus-5) or a Hugging Face repo id.
idrequiredPrice 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.
idrequiredShortlist 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.
modelimitsortByvendoracceptsoutputsminContextmaxInputPriceminIntelligencePut 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.
idsrequiredmonthlyMillionTokensWhat 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.
idrequiredinputSharemonthlyMillionTokensToday 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.
Takes no parameters.
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.
idrequired100% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
{ "mcpServers": { "ai-wave": { "command": "npx", "args": ["-y", "@elopstudio/ai-wave-mcp"], "env": { "AIWAVE_API_KEY": "aiw_live_..." } } }}{ "mcpServers": { "ai-wave": { "type": "http", "url": "https://aiwave.elopstudio.com/api/mcp", "headers": { "Authorization": "Bearer aiw_live_..." } } }}