io.github.jeff-atriumn/tokencost-dev

Official

by atriumn · TypeScript

LLM pricing oracle — model lookup, cost estimation, and comparison via LiteLLM

Model Context Protocol (MCP) Server: io.github.jeff-atriumn/tokencost-dev

The io.github.jeff-atriumn/tokencost-dev MCP server provides an “LLM pricing oracle” that performs model lookup, cost estimation, and comparison using LiteLLM. It is associated with topics including model-context-protocol, litellm, pricing, and tokencost.

🛠️ Key Features

LLM model lookup
Cost estimation
Cost comparison via LiteLLM
Includes MCP context via the model-context-protocol topic

🚀 Use Cases

Estimating token or usage costs for different LLM models
Comparing pricing between models using LiteLLM
Querying model pricing information through MCP

⚡ Developer Benefits

LiteLLM-based pricing and model handling
Structured access aligned with MCP (model-context-protocol)
Clear focus on pricing workflows (pricing, tokencost)

⚠️ Limitations

No tool count, specific tool names, or operational details are provided in the available data.

Topics

claudelitellmllmmcpmodel-context-protocolopenaipricingtokencost

README.md3 KBView on GitHub

tokencost

Ask your AI assistant "how much does GPT-4o cost?" — get an instant, accurate answer.

tokencost demo in Claude Code

Install in 30 seconds

Claude Code:

bash

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):

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".

code

> "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.

code

> "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.

code

> "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

Install

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "tokencost-dev": {
      "command": "npx",
      "args": [
        "-y",
        "tokencost-dev@0.1.3"
      ]
    }
  }
}

Model Context Protocol (MCP) Server: io.github.jeff-atriumn/tokencost-dev

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

Topics

tokencost

Install in 30 seconds

Tools

get_model_details

calculate_estimate

compare_models

refresh_prices

Docs

License

Install

Related servers

`get_model_details`

`calculate_estimate`

`compare_models`

`refresh_prices`