MCP 服务器

tokencost-dev

LLM pricing oracle — model lookup, cost estimation, and comparison via LiteLLM. An MCP server that gives AI assistants accurate, up-to-date model pricing from the LiteLLM community registry. Look up pricing and capabilities for any LLM with fuzzy matching, estimate costs for token volumes, and compare models by provider, context window, or mode.

README

<p align="center"> <img src="docs/src/assets/tokencost-logo.png" width="120" /> </p> <h1 align="center">tokencost</h1> <p align="center"> <a href="https://www.npmjs.com/package/tokencost-dev"><img src="https://img.shields.io/npm/v/tokencost-dev" alt="npm version" /></a> <a href="https://www.npmjs.com/package/tokencost-dev"><img src="https://img.shields.io/npm/dm/tokencost-dev" alt="npm downloads" /></a> <a href="https://github.com/atriumn/tokencost-dev/actions/workflows/ci.yml"><img src="https://img.shields.io/github/actions/workflow/status/atriumn/tokencost-dev/ci.yml?label=CI" alt="CI status" /></a> <a href="LICENSE"><img src="https://img.shields.io/npm/l/tokencost-dev" alt="license" /></a> </p> <p align="center">Ask your AI assistant "how much does GPT-4o cost?" — get an instant, accurate answer.</p>

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