Power your agent
URL ของผู้เผยแพร่เอง ไม่ใช่เอนด์พอยต์ของ PlugMCP
Host a copy with our keys and logs.
https://marginpad.io/mcpปุ่ม Claude ด้านบนจะเปิด Claude พร้อมกรอกชื่อและ URL ให้แล้ว คุณยังต้องยืนยันที่นั่นเอง
claude mcp add --transport http io.github.marginpad-sdk https://marginpad.io/mcpRun in a terminal.
{ "mcpServers": { "io.github.marginpad-sdk": { "command": "npx", "args": [ "-y", "mcp-remote", "https://marginpad.io/mcp" ] } }}claude_desktop_config.json
URL แบบรีโมตหรือคำสั่งบนเครื่องของคุณ? การติดตั้งสองแบบต่างกันอย่างไร
รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
Free crypto-futures paper trading for bots and free market data. One key, no KYC, no deposit. Test a strategy or an AI agent against live prices with real fee schedules, funding, liquidations, limit and stop orders, trailing stops, webhooks and a WebSocket stream, then take the same code to a real exchange.
Free crypto-futures paper trading and live market data for AI agents. 29 tools; no key for data.
The market data these clients read is measured by MarginPad itself and published free, with no key, as pages and JSON:
pip install marginpad # Python 3.8+, no dependencies (pip install "marginpad[stream]" for the WebSocket)
npm install marginpad # Node 18+, zero dependencies
from marginpad import MarginPad
mp = MarginPad("mpb_...") # key from https://marginpad.io/trading-api/
print(mp.price("BTC")) # keyless market data
pos = mp.open("BTC", "long", margin_usd=100, leverage=10, sl=58000, tp=66000,
client_order_id="sig-2026-09-12-1403") # idempotent: a retry returns the same position
mp.sltp(pos["id"], trail_pct=1.5) # trailing stop, ratcheted server-side
print(mp.account())
const { MarginPad } = require('marginpad');
const mp = new MarginPad('mpb_...');
const { position } = await mp.open({ symbol: 'BTC', side: 'long', margin_usd: 100, leverage: 10, client_order_id: 'sig-1' });
mp.stream(ev => console.log(ev.type, ev.data)); // positions pushed on change, prices each tick
mp.accounts() # every book of the account with lifetime numbers
mp.reset() # this key's book back to $10,000 (archived, never deleted)
mp.equity(days=30, step_min=60) # equity curve + max drawdown
mp.replay_start("BTC", "2026-09-11", speed=120) # run the same code through a past day, 12 minutes per day
mp.replay(interval=5, bars=120) # cursor, price, candles up to the cursor
mp.replay_stop() # summary: closes, win rate, P&L, return, liquidations
A key minted with book ({"act":"create","name":"rsi","book":"rsi"} on POST /api/bot/key) trades a separate journal: one strategy, one key, one clean result. During a replay every trading call of that key acts on a replay journal priced from the candle under the cursor; stops, targets and liquidations are checked on every candle between two calls.
Eighteen fields and eight presets, so the paper venue can be the one you will actually trade. The defaults are deliberately frictionless, and nothing you have already built moves until you change them.
mp.sim() # your profile, every field with its range, the presets
mp.sim(preset="realistic") # the honest middle, in one call
mp.sim(preset="bybit") # Bybit's published taker fee and maintenance margin
mp.sim(preset="brutal") # refusals, partial fills, a second of latency
mp.sim(start_balance_usd=2500, margin_enforced=True, slippage_bps=8, latency_ms=250)
mp.sim(reset=True) # back to the defaults
await mp.sim({ preset: 'realistic' });
await mp.sim({ start_balance_usd: 2500, margin_enforced: true, reject_rate_pct: 2 });
The book (start_balance_usd, margin_enforced, leverage_max, max_notional_usd), the fill (slippage, slippage_bps, impact_bps_per_100k, exit_slippage, latency_ms, partial_fills, min_fill_pct, reject_rate_pct), the cost (taker_bps, funding, funding_mult) and the liquidation (margin_venue, margin_tiers, mmr_pct).
Out-of-range values are refused, never clamped, and a position keeps the simulation it was filled under for life. margin_enforced turns the balance into a real budget: size past it and the open comes back 402, which is the failure a live bot has to handle and a frictionless simulator never shows you. reject_rate_pct is the one a retry loop is worth writing for.
Every field with its range: https://marginpad.io/trading-api/#sim
examples/agent_loop.py: a signal loop that opens, manages and closes positions once a minute without polling storms.examples/webhook_server.js: receive position.closed / order.filled events with signature verification.examples/mcp.md: let Claude Desktop or Cursor trade on your paper account through the MCP server.An API plan is its own product: a MarginPad Premium subscription buys nothing here, and an API plan buys nothing on the site. Every market-data endpoint is free and keyless, with no account and no trial. The paper-trading engine, the simulation, books, replay and the WebSocket stream are free for 7 days from the day the first key is minted (since 2026-10-13); after that they need a paid plan, and only webhooks and the AI read are gated by tier within it. Trade history is 30 days on the trial and 90 on a paid plan.
Measured in production: the busiest bot peaks at 66 requests a minute against the Free ceiling of 120, and no key has ever been rate-limited on any plan. Choose on keys and history, not on throughput.
Every response carries X-RateLimit-Limit / Remaining / Reset; on 429 both clients wait Retry-After and retry once. Out-of-range input is refused with a named error (leverage_max carries the market's cap), never silently clamped.
This is a simulator. Fees, funding and liquidation maths mirror real exchanges and every fill condition above is yours to set - but there is no order book behind impact_bps_per_100k, so market impact is modelled rather than measured on depth, and a stop, target or liquidation fills at its own level without paying the crossing cost. A bot that passes here still needs a small live test. Educational use, not financial advice.
MIT licensed.
Free crypto-futures paper trading and live market data for AI agents. 29 tools; no key for data.
{ "mcpServers": { "io.github.marginpad-sdk": { "url": "https://marginpad.io/mcp", "headers": {} } }}เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก http สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Sdk เข้าถึงได้ผ่าน HTTP
ตรวจสอบล่าสุดเมื่อ 2026-11-09 Free crypto-futures paper trading and live market data for AI agents. 29 tools; no key for data.