Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@ohmytoken compare prices for GPT-5.2 and Sonnet 4.5"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Real-time token pricing for 23 AI models across 8 providers (Anthropic, OpenAI, Google, DeepSeek, Zhipu, MiniMax, Moonshot, Alibaba). Built for agents — not just humans.
Price Intelligence
Real-time pricing table with sorting, filtering by provider/category/open-source
Token cost calculator — input your usage, see daily/monthly costs across all models
Price evolution timeline — from GPT-4 ($30/MTok) to DeepSeek V3 ($0.3/MTok)
Agent-First Design
MCP Server — 5 tools for price queries, model comparison, smart recommendations
Token Tracker — 5 tools for consumption logging, budget management, efficiency analysis
REST API — 12 endpoints for programmatic access
agents.txt — Machine-readable service description at /agents.txt
Bilingual — Chinese / English with automatic RMB / USD currency conversion
Related MCP server: agent-cost-mcp
git clone https://github.com/LangGPT/ohmytoken.git
cd ohmytoken
npm install
npm run build
npm run dev # → http://localhost:18090Add to your Claude Code settings.json:
{
"mcpServers": {
"ohmytoken": {
"command": "npx",
"args": ["tsx", "src/mcp/index.ts"]
}
}
}Tools:
Tool | Description |
| Get real-time pricing for any model or provider |
| Side-by-side comparison of 2+ models |
| Smart recommendation by task, budget, preferences |
| Estimate costs for a workload across all models |
| Historical token price trends since 2023 |
Every agent deserves a financial dashboard. Track your token spending like wandb tracks experiments.
{
"mcpServers": {
"ohmytoken-tracker": {
"command": "npx",
"args": ["tsx", "src/mcp/tracker.ts"]
}
}
}Tools:
Tool | Description |
| Record token consumption (cost auto-calculated) |
| Query spending by period, model, or task |
| Set daily/monthly limits with auto-warnings |
| Spending patterns and optimization suggestions |
| Multi-agent ranking — who's most efficient? |
Data stored in ~/.ohmytoken/ledger.jsonl (append-only, portable).
Base URL: https://www.ohmytoken.com/api (or http://localhost:18090/api)
# All models
curl /api/models?provider=anthropic
# Cost calculation
curl -X POST /api/calculate \
-d '{"inputTokens":1000000,"outputTokens":500000,"requestsPerDay":100}'
# Smart recommendation
curl -X POST /api/recommend \
-d '{"task":"coding","preferOpenSource":true}'
# Log agent token usage
curl -X POST /api/tracker/log \
-d '{"agent_id":"my-agent","model":"claude-opus-4-6","input_tokens":5000,"output_tokens":1000}'
# Agent leaderboard
curl /api/tracker/leaderboardProvider | Models | Price Range (Input $/MTok) |
Anthropic | Opus 4.6, Sonnet 4.5, Haiku 4.5 | $1 — $5 |
OpenAI | GPT-5.2, GPT-4.1, o3, o4-mini | $0.1 — $2 |
Gemini 2.5 Pro, 2.5 Flash, 2.0 Flash | $0.1 — $1.25 | |
DeepSeek | V3, R1 | $0.3 — $0.7 |
Zhipu | GLM-5, GLM-5 Code, GLM-4.7 | $0.07 — $1.2 |
MiniMax | M2.1 | $0.3 |
Moonshot | Kimi K2, Kimi K2.5 | $0.6 |
Alibaba | Qwen3-Max, QwQ-Plus | $0.8 — $1.2 |
ohmytoken/
├── src/
│ ├── client/ # React SPA (bilingual, light theme)
│ │ ├── components/ # PriceTable, Calculator, Timeline, AgentDashboard, ...
│ │ ├── i18n.ts # zh/en translations, RMB/USD conversion
│ │ └── styles.css # Light theme with glass morphism
│ ├── server/ # Express API server (port 18090)
│ ├── mcp/
│ │ ├── index.ts # Price intelligence MCP server
│ │ └── tracker.ts # Token consumption tracker MCP server
│ └── shared/ # Types, data, tracker storage
├── docs/ # GitHub Pages static build
├── public/ # Static assets (index.html, agents.txt)
└── build.js # esbuild bundlerMIT
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Live LLM API pricing: token prices, comparisons, cheapest-model lookups. No key required.
Compare up-to-date pricing for 40+ LLMs (incl. Chinese) & estimate cost from tokens. EN/zh.
Live crypto prices, conversion, gas tracker, portfolio tools, and calculators for AI agents.
AI inference pricing for agents: live and historical model prices, provider comparison.
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