com.elopstudio.aiwave由 aiwave.elopstudio.com 發布官方發布者v1.1.0更新於 Oct 24, 2026
AI model releases, price changes and deprecations in one feed: chat, embedding, speech, video.
AI Wave 彙整 AI 模型發布、價格變動與下架資訊，讓助理查看變化、比較模型並估算成本。
Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/com.elopstudio.aiwave%2Fai-wave/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"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 New releases, price moves, and models being withdrawn, in one feed, deduplicated per model, each marked official or pending review.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.
來源：README.md，提交 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.
id必填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.
id必填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.
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.
ids必填monthlyMillionTokensWhat 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.
id必填inputSharemonthlyMillionTokensToday 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.
無需輸入參數。
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.
id必填已滿足適用檢查項的 100%
該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。
{ "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_..." } } }}