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tokencost-dev

tokencost-dev

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github.com/atriumnAI & Agents1Updated 5w ago
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About tokencost-dev

tokencost-dev is an MCP server for AI assistants that look up model pricing and estimate or compare costs. It uses pricing data from the LiteLLM registry, with local caching and no API keys required.

Key features

  1. 01Look up model pricing and capabilities
  2. 02Fuzzy model-name matching
  3. 03Estimate input and output token costs
  4. 04Compare models by cost and requirements
  5. 05Refresh LiteLLM pricing data

Use cases

  1. 01Check a model's token prices
  2. 02Estimate a prompt's model cost
  3. 03Compare cost-effective models
  4. 04Refresh cached pricing information

MCP support

Provides model lookup, cost estimation, comparison, and price-refresh tools to MCP clients. It runs via stdio and fetches data from the LiteLLM community registry.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "jeff-atriumn-tokencost-dev": {
      "command": "npx",
      "args": [
        "-y",
        "tokencost-dev"
      ]
    }
  }
}
Run commandnpx -y tokencost-dev

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmtokencost-dev0.1.3

Tools

4

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
model_namestringYesModel name to look up (e.g. 'claude-sonnet-4-5', 'gpt-4o', 'gemini-2.0-flash')

Details

From the project README

README image

tokencost

npm version npm downloads CI status license

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:

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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.