TradingCalc MCP Server

Ask Claude or Cursor trade questions and get exact numbers back, not AI guesses.

"What's my PnL if I buy 0.5 BTC at $80k and sell at $95k with 5x leverage?" "Size my position: $10k account, 1% risk, long BTC at $83k, stop at $81k." "Is this carry trade worth it? 0.01% funding long, 0.05% short, $50k, 30 days."

40 deterministic tools across trade planning, risk & margin, funding/carry, market-structure (Market Profile) analysis, chain-agnostic on-chain tools — Solana (token safety, swap price impact, bonding curve) plus Solana + 5 EVM chains for market cap comparison and wallet flag check — prediction-market odds and fair value across Kalshi, Polymarket and ADI Predictstreet's crypto categories, and Deribit BTC/ETH options math (payoff/breakeven, Black-Scholes price/Greeks, straddle/strangle, covered call/protective put, implied volatility). Formulas verified against 35 canonical test vectors: same inputs always produce the same outputs. Every response is also signed with ECDSA P-256, so you can verify offline that it actually came from us. Free, no signup.

Access via MCP (Claude Desktop / Cursor / VS Code) or a plain HTTP POST to the MCP endpoint. Free, no signup.

Endpoints

MCP transport: Streamable HTTP (MCP spec 2024-11-05)

Quick Start

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "tradingcalc": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://tradingcalc.io/api/mcp"]
    }
  }
}

Cursor / VS Code

{
  "tradingcalc": {
    "url": "https://tradingcalc.io/api/mcp"
  }
}

Agent Skill

For coding agents that support the skills.sh ecosystem (Claude Code, Cursor, GitHub Copilot, and others) — installs a SKILL.md that teaches the agent when to reach for these tools instead of estimating trade math itself:

npx skills add SKalinin909/tradingcalc-mcp

Direct HTTP

curl -X POST https://tradingcalc.io/api/mcp \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "workflow.run_liquidation_safety",
      "arguments": {
        "side": "long",
        "entryPrice": 95000,
        "leverage": 10
      }
    }
  }'

Example prompts

After connecting, just ask naturally: the AI picks the right tool automatically:

Trade P&L

"I bought 0.5 BTC at $80,000 and want to sell at $95,000 with 5x leverage. What's my net profit after fees?"

Position sizing

"I have a $10,000 account and want to risk 1% going long BTC at $83,000 with a stop at $81,000. How many coins should I buy?"

Liquidation check

"Long ETH at $3,200 with 10x leverage, where do I get liquidated?"

Full pre-trade check

"Analyze this setup: long BTC at $83,000, stop $81,000, target $90,000, $10k account, 1% risk, 5x leverage. Is it worth taking?"

Funding cost

"I'm holding 0.5 BTC long on Bybit at $83,000 with 0.01% funding rate. How much will funding cost me over 3 days?"

Carry trade

"Is this carry trade worth it? Long on Bybit at 0.01% funding, short on Binance at 0.05%, $50k notional, 30 days."

DCA average entry

"I bought BTC at $78k (0.2 BTC), $80k (0.3 BTC), and $82k (0.1 BTC). What's my average entry and breakeven?"

Scale-out plan

"I'm long 1 BTC from $80k. I want to close 30% at $88k, 40% at $92k, 30% at $96k. What's my total P&L?"

Token safety check

"Is this Solana token a rug pull risk? Mint: DezXAZ8z7PnrnRJjz3wXBoRgixCa6xjnB7YaB1pPB263"

Swap price impact

"How much slippage will I eat swapping 50,000,000 BONK to USDC?"

Bonding curve

"How many tokens do I get buying with 1 SOL on a pump.fun curve that's already raised 20 SOL?"

Market cap comparison

"If I put $1,000 into BONK and it reaches JUP's market cap, what's it worth?"

Wallet flag check

"Is this wallet address flagged for anything? [address]" (Solana or EVM)

Odds converter

"What odds does a 35% probability work out to?"

Market-implied odds

"What does the market think BTC will be worth by year end?"

Prediction market edge

"I think this event is 60% likely but the market prices it at 40%. Should I bet, and how much with a $10k bankroll?"

Options payoff

"What does my BTC call payoff at $90,000? Strike $85,000, premium 0.02 BTC, long 1 contract."

Black-Scholes / IV check

"Is Deribit's BTC-27FEB27-90000-C fairly priced right now?"

Covered call yield

"I hold BTC bought at $80,000. What annualized yield do I get selling a $85,000-strike call for 0.02 BTC, 30 days out?"

Tools (40)

Tool naming follows the workflow.run_* / primitive.* / system.* namespace convention. Old flat names (pnl, liquidation, etc.) are accepted for backward compatibility. All tools are free via MCP, no signup; 20 calls/day anonymously, 200/day with a free API key.

Full tool-by-tool reference (every input/output schema, request/response examples, per-tool descriptions): docs.tradingcalc.io/api

Formulas normalized across 16 exchanges: Binance, OKX, Bybit, Aster, Hyperliquid, MEXC, KuCoin, Gate, Deribit, Kraken, HTX, WOO, Phemex, Blofin, Backpack, dYdX.

Rate Limits

The Service is free. Need a higher-limit key → email s@tradingcalc.io.

Pass key as: Authorization: Bearer <your-api-key>

Self-Verification

Agents can verify all 35 canonical test vectors before trusting results:

{
  "jsonrpc": "2.0", "id": 1,
  "method": "tools/call",
  "params": { "name": "system.verify", "arguments": {} }
}

Response: { "status": "pass", "passed": 35, "failed": 0, "total": 35 }

Live proof: tradingcalc.io/verify

Signed Responses

system.verify proves the formulas are correct. It doesn't prove the specific response you got wasn't altered by a proxy, cache, or MITM in between. Every tools/call result carries a second content block signed with ECDSA P-256, plus X-TradingCalc-Signature/Kid/Signed-At headers. Call system.pubkey (or GET /api/mcp/pubkey) for the public key (PEM + JWK) and the canonical string format needed to verify offline, no callback required.

Use Cases

• Trading bots: check liquidation price before every trade
• AI agents: deterministic risk calculations without hallucination risk
• Multi-agent systems: drop-in risk management agent in analyst + risk + execution pipelines
• Dashboards: embed calculations programmatically

Why deterministic?

LLMs asked directly give plausible but potentially wrong numbers. TradingCalc MCP returns exact calculations: same inputs always produce the same outputs. No hallucination risk for financial data.

Risk Agent Wrapper

examples/risk-agent-wrapper.ts: a drop-in TypeScript wrapper for risk-gated trade execution. Integrates with any agent framework (ElizaOS, CrewAI, AutoGen, Hummingbot, Freqtrade).

import { RiskAgent, preTradeGate } from './examples/risk-agent-wrapper';

const agent = new RiskAgent({ apiKey: 'tc_your_key', minLiqDistancePct: 3.0 });

const result = await agent.evaluate({
  symbol: 'BTCUSDT', exchange: 'bybit',
  side: 'long', entry_price: 83000, stop_loss: 81000,
  account_balance: 10000, risk_pct: 1, leverage: 5,
  funding_rate: 0.0001, hold_hours: 24,
});

if (result.approved) {
  // execute trade: result.recommended_size, result.liquidation_price
} else {
  console.log('Rejected:', result.rejection_reason);
}

// Binary gate for execution bots
const ok = await agent.isSafe({ symbol: 'ETHUSDT', side: 'short', ... });

// Standalone function (minimal integration)
const { approved, size, liqPrice } = await preTradeGate({ ... }, 'tc_your_key');

TypeScript SDK

For code-first integrations, use tradingcalc-sdk instead of raw JSON-RPC:

npm install tradingcalc-sdk

import { TradingCalcClient } from 'tradingcalc-sdk';

const tc = new TradingCalcClient({ apiKey: 'tc_your_key' });