com.elopstudio.aiwave由 aiwave.elopstudio.com 发布官方发布者v1.1.0更新于 Oct 24, 2026
AI model releases, price changes and deprecations in one feed: chat, embedding, speech, video.
AI Wave 汇总 AI 模型发布、价格变动与下线信息，让助手查看变化、比较模型并估算成本。
Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/com.elopstudio.aiwave%2Fai-wave/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。把它添加到你客户端的 mcpServers 配置中。
{
"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 New releases, price moves, and models being withdrawn, in one feed, deduplicated per model, each marked official or pending review.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.
来源：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.
无需输入参数。
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必填已满足适用检查项的 100%
该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。
{ "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_..." } } }}