Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Find AI model pricing, estimate token costs and compare offers. No API key required.
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
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Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
https://modelcostcomparison.com/api/v1/mcpRun this in your terminal
claude mcp add --transport http modelcostcomparison https://modelcostcomparison.com/api/v1/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"modelcostcomparison": {
"url": "https://modelcostcomparison.com/api/v1/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": {
"modelcostcomparison": {
"type": "http",
"url": "https://modelcostcomparison.com/api/v1/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.
ChatGPT connects only to servers on the internet:
https://modelcostcomparison.com/api/v1/mcpMenu names can differ slightly by plan and over time.
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.
We have not read this server’s tool list yet; we check endpoints in rotation.
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 7, 2026
The registry name was verified with the GitHub account Lazige, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 35 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, AvaHR
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.
Read hiring data and create inactive assessment and questionnaire drafts for human review.
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.
Measured by MCPmetrics:
Connect your AI client to the same pricing source and calculation engine used by ModelCostComparison.
Install in Cursor
Remote endpoint: https://modelcostcomparison.com/api/v1/mcp Transport: Streamable HTTP. No API key or local package required.
Use the install link above and confirm the server in Cursor. Alternatively, merge the contents of mcp.json into your Cursor MCP configuration, preserving existing servers. Enable ModelCostComparison in the agent's tools.
Open Connectors, choose Add custom connector, name it ModelCostComparison and paste the endpoint above. Connect it and enable its tools for your conversation. Organization settings may require an administrator to add it.
Add a remote MCP server with the endpoint above and Streamable HTTP transport.
| Tool | Purpose |
|---|---|
list_models | Find model and exact tariff identifiers. |
get_model_pricing | Get rates, sources and review dates. |
calculate_cost | Calculate input, output and cached-input token costs. |
compare_model_costs | Compare offers for the same token workload. |
find_cheapest_models | Rank eligible reviewed offers for a token workload. |
list_providers | Summarize providers, offers and current price ranges. |
Start with model discovery; use the exact offer IDs returned by the service. Missing or ambiguous workload details should be clarified before calculating.
Results are estimates of text-token subtotals in USD, not invoices or model-quality rankings. Cache writes, storage, tools, search and taxes are excluded. Expired or unreviewed offers cannot be calculated. Unsupported offers are reported separately in comparisons. Pricing is served from the website's reviewed deployment snapshot, not fetched from providers on every request.
The service is rate limited. On HTTP 429, wait for Retry-After before retrying. HTTP 503 indicates temporary unavailability. No provider credentials are needed, and tools do not call provider models.
This repository contains connection settings and documentation only. Pricing and calculations remain on the hosted service.
Published as io.github.Lazige/modelcostcomparison, version 1.0.1. Registry entry. The registry metadata lives in server.json.