io.github.jeff-atriumn/tokencost-dev

Official registry AI and agents

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).

NPM package tokencost-dev
Claude Code
claude mcp add tokencost-dev -- npx -y tokencost-dev@0.1.3
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "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.

Contents
  1. tokencost
  2. Install in 30 seconds
  3. Tools
  4. Docs
  5. License

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.