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AI Wave

com.elopstudio.aiwave/ai-wave · v1.0.3 · MCP 2024-11-05

AI model releases, price changes and deprecations in one feed: chat, embedding, speech, video.

Reachability reachable
checked 2026-09-20 05:33 UTC
Registry status active
Tools pinned 8
f12a2bc9b2f1
Tools last changed 2026-09-16
Repo last push 2026-09-11
GitHub stars 0

Provenance

Registry namespace com.elopstudio.aiwave (domain verified by the official registry)
Repository github.com/elopstudio/ai-wave-mcp
Website https://aiwave.elopstudio.com/api-docs
Remote endpoints
https://aiwave.elopstudio.com/api/mcp (streamable-http)

Observed changes

When (UTC)EventDetail
2026-09-16 05:33 tools changed 0 added, 0 removed, 6 changed
2026-09-15 05:32 tools changed 2 added, 0 removed, 1 changed
2026-09-14 05:32 first capture 6 tools pinned
2026-09-14 05:32 back online
2026-09-13 05:32 unreachable

Pinned tool definitions (8)

ToolDescription
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...
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.
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...
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...
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...
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.
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...
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...
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