modelpulse
Incorporates GitHub data into the model change feed, helping track model releases, API changes, deprecations, and other updates alongside pricing and catalogue information.
Uses Hugging Face catalogue data to retrieve model pricing, context length, catalogue status, and related model information, including lookup by Hugging Face repo ID and comparison/search across tracked models.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
modelpulse
modelpulse is a thin local bridge to AI Wave's hosted MCP server, a single normalised feed over the AI model landscape: vendor release notes, the Hugging Face and OpenRouter catalogues, GitHub and the LiteLLM price map, deduplicated per model. It tracks what changed, what things cost, and what to switch to when a model goes away.
The bridge keeps no catalogue and computes nothing. It serves the upstream server's tool list locally — exactly as captured from the live endpoint — and forwards each tool call upstream, returning the result untouched.
Tools
list_model_changes— the change feed: new releases, price changes, API changes and deprecations, each entry marked official or pending review. Optional:since(unix seconds; poll by feeding the returnedlatestback in),type(new_model,price_change,api_change,open_source_surge,deprecation),model(vendor slug, e.g.claude), andlimit(1-100, default 20).get_model— pricing, context length and catalogue status for one model (id, required: an OpenRouter id such asanthropic/claude-opus-5, or a Hugging Face repo id).get_price_history— when one model's price changed and to what (id, required). History starts when AI Wave began recording, not when the model launched.search_models— shortlist models by budget, context and capability, with benchmark scores next to prices. Optional:vendor,maxInputPrice(USD per 1M input tokens),minContext,minIntelligence,sortBy(a subject such ascodingormath, orbuzzfor popularity),outputs,mode,accepts, andlimit(1-50, default 10).compare_models— two to six models side by side (ids, required): price, context, per-subject scores (untested subjects are marked, not zeroed), and the monthly cost at a volume (monthlyMillionTokens, default 10).estimate_cost— one model's monthly bill in USD and KRW (id, required), frommonthlyMillionTokens(default 10) and aninputSharesplit (0-1, default 0.75 input / 0.25 output).get_today— today in one call: the top 5 models, climbers, pricing changes from the last 24h, and new listings from the last 7 days. No arguments.find_replacement— what to switch to when a model is gone (id, required), ranked by closeness in measured performance, with score, price and context deltas. Candidates with less than half the original's context window are excluded.
Related MCP server: Modelmeter
Configuration
AIWAVE_MCP_URL(optional) — override the upstream endpoint. Defaults tohttps://aiwave.elopstudio.com/api/mcp. (The override hook is this rebuild's own labelled reconstruction.)AIWAVE_API_KEY(optional) — when set, every upstream request carriesAuthorization: Bearer <key>. When it is unset, no auth header is sent; the capture this rebuild is based on was taken keyless. (This forwarding is this rebuild's own labelled reconstruction.)
Forwarding mechanics
On the first tool call the client opens a streamable
HTTP session with the upstream: a JSON-RPC initialize
request (protocolVersion 2025-03-26, clientInfo name
modelpulse), then a notifications/initialized
notification, then the tools/call request carrying
the caller's arguments unchanged. When the upstream
answers initialize with an Mcp-Session-Id header,
that value rides on every later request of the
session, which is reused for the life of the process.
Replies may arrive as plain JSON or as
server-sent events; both are read.
Successful upstream results pass through verbatim,
including any isError flag the upstream sets.
Failures — a JSON-RPC error, a non-2xx status, an
unreadable response, or a request that cannot be
completed — come back as an isError result whose
text starts with modelpulse error: (this rendering is
this rebuild's own labelled reconstruction).
CLI
Each tool is also a subcommand taking one JSON argument string (omit it for tools that take none):
npx @reneturcios/modelpulse get_today
npx @reneturcios/modelpulse get_model '{"id":"anthropic/claude-opus-5"}'
npx @reneturcios/modelpulse compare_models '{"ids":["anthropic/claude-opus-5","openai/gpt-5.2"]}'
npx @reneturcios/modelpulse --versionExit codes: 0 on success, 1 on an isError
result, 2 on a usage error.
MCP server
npx -y @reneturcios/modelpulse mcpMCP client config:
{
"mcpServers": {
"modelpulse": {
"command": "npx",
"args": ["-y", "@reneturcios/modelpulse", "mcp"]
}
}
}Docker
docker run -i ghcr.io/cloudcorprecords/modelpulse
docker run --rm ghcr.io/cloudcorprecords/modelpulse --versionThe container's default command is mcp, so the first
form is a stdio MCP server; any other arguments reach
the CLI normally.
Development
npm install
npm run build
npm test
npm run devThe test suite runs entirely against a stubbed JSON-RPC upstream — no live network calls.
License
MIT — see LICENSE.
This server cannot be deployed
Maintenance
Related MCP Connectors
AI model releases, price changes and deprecations in one feed: chat, embedding, speech, video.
Check if an AI model is deprecated, retiring, or silently changed price or context window.
Read-only AI news with sources, Model Tracker prices, releases and retirement dates.
Live registry of AI model specs, context windows, and per-token pricing.
Related MCP Servers
- AlicenseAqualityFmaintenanceProvides AI assistants with real-time access to 1000+ AI models including their latest pricing, context windows, capabilities, and specifications. Supports model search, comparison, recommendations, and live testing.3166 npm1MIT

Modelmeterofficial
AlicenseNot gradedqualityDmaintenanceEnables AI agents to query model pricing, deprecations, and cost estimates via a machine-readable changelog of the AI stack.1MIT- FlicenseAqualityBmaintenanceEnables searching, comparing, and inspecting AI models by pricing, context window, and capabilities via the models.dev catalog.8-
- AlicenseNot gradedqualityCmaintenanceProvides a normalized feed of AI model releases, price changes, API changes, and deprecations, with tools to list changes, get model details, and search models by budget and context.69 npmMIT