Context7
by upstash
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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★ 64,224MITUpdated today
Install
Tokencost Dev
Overview
Description from the maker (original English)
LLM pricing oracle — model lookup, cost estimation, and comparison via LiteLLM
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 checksi0 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
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: 0 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": {
"tokencost-dev": {
"command": "npx",
"args": [
"-y",
"tokencost-dev"
]
}
}
}Run this in your terminal
claude mcp add tokencost-dev -- npx -y tokencost-devOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"tokencost-dev": {
"command": "npx",
"args": [
"-y",
"tokencost-dev"
]
}
}
}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": {
"tokencost-dev": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"tokencost-dev"
]
}
}
}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 6, 2026
- ! Caution
Maker matches the repo
The publisher (jeff-atriumn) is not the repo owner (atriumn); someone else may have listed it
- … 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 7247 servers in this category
- Published to the registry more recently than 3% of the other 7247 servers in this category
- Basic checks equal to or better than 35% of the other 7247 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 Tokencost Dev safe?
It passed 0 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 (0.1.3) reached the registry 8 months 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:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Codebase Memory
by DeusData
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Runs on your computer★ 48,148MITUpdated 20 days ago
Install
Exa
by exa-labs
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Runs in the cloud★ 5,213MITUpdated last month
Install
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.
tokencost
Ask your AI assistant "how much does GPT-4o cost?" — get an instant, accurate answer.
Install in 30 seconds
Claude Code:
claude mcp add tokencost-dev -- npx -y tokencost-devThen ask: *"How much would 1M input tokens cost on claude-sonnet-4-5?"*
Cursor (.cursor/mcp.json):
{"mcpServers": { "tokencost-dev": { "command": "npx", "args": ["-y", "tokencost-dev"] } } }
No API keys. No accounts. No configuration files. Pricing data is fetched from the LiteLLM community registry and cached locally for 24 hours.
Tools
get_model_details
Look up pricing, context window, and capabilities for any model. Fuzzy matching means "sonnet 4.5" works just as well as "claude-sonnet-4-5-20250514".
> "What are Claude Sonnet 4.5's pricing and capabilities?"Model: claude-sonnet-4-5 Provider: anthropic | Mode: chat
Pricing (per 1M tokens): Input: $3.00 Output: $15.00
Context Window: Max Input: 200K Max Output: 8K
Capabilities: vision, function_calling, parallel_function_calling
calculate_estimate
Estimate cost for a given number of input and output tokens.
> "How much will 1000 input + 500 output tokens cost on Claude Sonnet 4.5?"Cost Estimate for claude-sonnet-4-5
Input: 1K tokens × $3.00/1M = $0.003000 Output: 500 tokens × $15.00/1M = $0.007500 ───────────────────────────── Total: $0.0105
compare_models
Find the most cost-effective models matching your requirements.
> "What are the cheapest OpenAI chat models?"Top 2 most cost-effective models (provider: openai) (mode: chat):
- gpt-4o-mini Provider: openai | Mode: chat Input: $0.15/1M | Output: $0.60/1M Context: 128K in / 16K out
- gpt-4o Provider: openai | Mode: chat Input: $5.00/1M | Output: $15.00/1M Context: 128K in / 16K out
refresh_prices
Force re-fetch pricing data from the LiteLLM registry (cache is refreshed automatically every 24h).
Docs
Full documentation at tokencost.dev
License
MIT