Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Computer or cloud
AiGanak LLM Cost
Overview
Description from the maker (original English)
LLM API prices, cost estimates, model comparisons and language token tax for GPT, Claude and Gemini.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 250/wk · ★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Search & AI memory
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- npmNode.js installed (for the npx command)
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": {
"llm-cost": {
"command": "npx",
"args": [
"-y",
"@aiganak/llm-cost-mcp"
]
}
}
}Run this in your terminal
claude mcp add llm-cost -- npx -y @aiganak/llm-cost-mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"llm-cost": {
"command": "npx",
"args": [
"-y",
"@aiganak/llm-cost-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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"llm-cost": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@aiganak/llm-cost-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.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
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 8, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account AiGanak, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Search & AI memoryi
- More stars than 0% of the other 5686 servers in this category
- Published to the registry more recently than 94% of the other 5686 servers in this category
- Basic checks equal to or better than 100% of the other 5686 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is AiGanak LLM Cost safe?
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.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
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).
Is it still maintained?
The GitHub repo last changed –, and the latest version (2026.11.5) reached the registry 2 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Context7, Codebase Memory, Exa
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Runs on your computer
Exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Runs in the cloud✓ exa.ai
README from the maker
Open the README
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.
AiGanak LLM Cost MCP server
Ask your AI assistant what an LLM workload will cost, which model is cheapest for it, and how much more the same text costs in Hindi, German or Japanese, using current, sourced prices for OpenAI, Anthropic and Google models.
Works with any MCP client: Claude Desktop, Claude Code, Cursor, VS Code, Windsurf and others. No API key, no account.
Tools
| Tool | What it answers |
|---|---|
list_models | Current models with standard, cached-input and batch prices per million tokens |
get_model_price | Full pricing for one model: cache writes, long-context surcharges, announced price changes, source page |
estimate_cost | Cost of N requests on one model, with caching, batch and future-dated prices |
compare_models | The same workload priced on every model, cheapest first |
token_tax | How many more tokens a language takes than English, per model family (22 languages) |
estimate_text_cost | Tokens and cost for a piece of text in any measured language, script detected automatically |
price_changes | Dated, sourced log of LLM API price changes |
Example questions:
- *"What will 50,000 requests of 6,000 input tokens (4,000 cached) and 500 output cost on Claude Sonnet 5.5 vs GPT-6.1 Sol?"*
- *"Which model is cheapest for a Tamil support bot?"*
- *"What does Gemini 4 Argon cost per request after its December price change?"*
Install
Requires Node.js 18 or later.
Claude Desktop: add to claude_desktop_config.json:
{"mcpServers": { "aiganak-llm-cost": { "command": "npx", "args": ["-y", "@aiganak/llm-cost-mcp"] } } }
Claude Code:
claude mcp add aiganak-llm-cost -- npx -y @aiganak/llm-cost-mcpCursor: add the same mcpServers entry to ~/.cursor/mcp.json.
From source (no npm needed):
git clone https://github.com/AiGanak/llm-prices && cd llm-prices/mcp && npm installthen use: "command": "node", "args": ["/path/to/llm-prices/mcp/index.js"]
Data
Prices, the price change log and the token tax index come from AiGanak/llm-prices (CC BY 4.0). The server fetches the latest data at start-up and falls back to the copy bundled with the package if it is offline (set LLM_PRICES_OFFLINE=1 to always use the bundled copy). Prices are checked weekly against each provider's own pricing page; the token tax is re-measured monthly with each provider's official token counter.
Prices change. Confirm on the provider's page before committing to a budget.
About
Built by AiGanak. We help teams cut LLM spend without losing quality: free tools at aiganak.com/tools, the LLM Cost Report and cost audits.