Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
AI model releases, price changes, comparisons and cost estimates in one normalised feed.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"modelpulse": {
"command": "npx",
"args": [
"-y",
"@reneturcios/modelpulse",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add modelpulse -- npx -y @reneturcios/modelpulse mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"modelpulse": {
"command": "npx",
"args": [
"-y",
"@reneturcios/modelpulse",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"modelpulse": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/modelpulse",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 2 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, FOGA node
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
A Finch OG Agent cell as an MCP server: read the world, dry-run and take ERC-8414 tenders by policy.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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 returned latest back in), type (new_model, price_change, api_change, open_source_surge, deprecation), model (vendor slug, e.g. claude), and limit (1-100, default 20).get_model — pricing, context length and catalogue status for one model (id, required: an OpenRouter id such as anthropic/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 as coding or math, or buzz for popularity), outputs, mode, accepts, and limit (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), from monthlyMillionTokens (default 10) and an inputShare split (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.AIWAVE_MCP_URL (optional) — override the upstream endpoint. Defaults to https://aiwave.elopstudio.com/api/mcp. (The override hook is this rebuild's own labelled reconstruction.)AIWAVE_API_KEY (optional) — when set, every upstream request carries Authorization: Bearer . 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.)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).
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 --version
Exit codes: 0 on success, 1 on an isError result, 2 on a usage error.
npx -y @reneturcios/modelpulse mcp
MCP client config:
{
"mcpServers": { "modelpulse": { "command": "npx", "args": ["-y", "@reneturcios/modelpulse", "mcp"] } } }
docker run -i ghcr.io/cloudcorprecords/modelpulse
docker run --rm ghcr.io/cloudcorprecords/modelpulse --version
The container's default command is mcp, so the first form is a stdio MCP server; any other arguments reach the CLI normally.
npm install
npm run build npm test npm run dev
The test suite runs entirely against a stubbed JSON-RPC upstream — no live network calls.
MIT — see LICENSE.