io.github.jeff-atriumn/tokencost-dev
LLM pricing oracle — model lookup, cost estimation, and comparison via LiteLLM
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
tokencost-devclaude mcp add tokencost-dev -- npx -y tokencost-dev@0.1.3
{
"mcpServers": {
"tokencost-dev": {
"command": "npx",
"args": [
"-y",
"tokencost-dev@0.1.3"
]
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
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-dev
Then 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):
1. gpt-4o-mini
Provider: openai | Mode: chat
Input: $0.15/1M | Output: $0.60/1M
Context: 128K in / 16K out
2. 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
Frequently asked questions
What is io.github.jeff-atriumn/tokencost-dev?
LLM pricing oracle — model lookup, cost estimation, and comparison via LiteLLM
How do I install io.github.jeff-atriumn/tokencost-dev?
It runs on your machine. In Claude Code: claude mcp add tokencost-dev -- npx -y tokencost-dev@0.1.3. For other clients, paste the JSON configuration from this page into their MCP settings.
Does io.github.jeff-atriumn/tokencost-dev need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is io.github.jeff-atriumn/tokencost-dev open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains io.github.jeff-atriumn/tokencost-dev?
It is published by atriumn. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.