Keel — Hyperliquid research MCP
Hyperliquid research MCP — typed strategy composition, deterministic backtests on real market data, opt-in live execution.
README
<p align="center"> <a href="https://usekeel.io/keel-mcp"> <img src="https://usekeel.io/og/keel-mcp.png" alt="keel-trade — Build, backtest, and automate Hyperliquid trading strategies with your agent" width="100%"> </a> </p>
<h1 align="center">keel-trade</h1>
<p align="center"> <strong>The Keel CLI and stdio MCP server.</strong><br> Build, backtest, and automate <a href="https://hyperliquid.xyz">Hyperliquid</a> trading strategies — with your agent in the loop for <em>creation</em> and a deterministic engine in the loop for <em>execution</em>. </p>
<p align="center"> <a href="https://pypi.org/project/keel-trade/"><img src="https://img.shields.io/pypi/v/keel-trade.svg" alt="PyPI version"></a> <a href="https://www.python.org/downloads/"><img src="https://img.shields.io/badge/python-3.11+-blue.svg" alt="Python 3.11+"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-green.svg" alt="MIT License"></a> <a href="https://usekeel.io/keel-mcp"><img src="https://img.shields.io/badge/product-keel--mcp-635BFF.svg" alt="Product page"></a> </p>
<p align="center"> <a href="https://usekeel.io">Website</a> · <a href="https://usekeel.io/keel-mcp">Product page</a> · <a href="https://usekeel.io/docs">Docs</a> · <a href="https://app.usekeel.io/share/gDXjURKqWPs8CZ4eXdqAI?ref=H0O2KN">Sample backtest</a> · <a href="https://github.com/keel-trade/keel-trade/discussions">Discussions</a> </p>
What is Keel?
Keel is a quantitative crypto trading platform built around Hyperliquid — strategy development, backtesting, live execution, and portfolio management on the venue with the deepest on-chain perpetual order book. The full platform includes:
- A web app for composing strategies, running backtests, and deploying live (app.usekeel.io)
- A deterministic backtest engine with real Hyperliquid funding + price + slippage, walk-forward, and Monte Carlo
- Bit-for-bit live execution — the same compiled strategy artifact runs in backtest and on Hyperliquid
- A strategy library of documented, forkable trading strategies
- A screener + calculator suite at usekeel.io/lab (funding leaderboard, momentum, overfit-check, walk-forward visualizer, more)
- This package —
keel-trade— the agent-native research surface
This repository is the public mirror of the keel-trade Python package: a single pipx install gives you both a CLI and a stdio MCP server, so the same tools work from a terminal or from any MCP-capable agent.
Why agents create strategies, not trade them
Most agent-trading projects put an LLM in the execution loop. That makes systems slow, inconsistent, and hard to audit. Keel does the opposite:
You ──── compose ────► Strategy graph ──── compile ────► Deterministic artifact
▲ │
│ ▼
Agent edits Backtest engine
via MCP tools (real HL data)
│
▼
Live execution
(same artifact)
Three properties drive the design:
- Bit-for-bit parity between backtest and live. Same compiled artifact, same engine, same data path. There is no second implementation that can drift.
- Typed composition over freeform code. Strategies are graphs of versioned components. Compile errors catch bugs at author time instead of in production.
- Agents compose, the deterministic engine executes. Claude / Cursor / Codex help you build the strategy. They are not in the trade loop.
Install
Claude Desktop — one-click (MCPB)
Download keel-trade-<version>.mcpb from the latest release and drag onto Claude Desktop. Cross-platform single bundle — works on macOS, Windows, and Linux.
The MCPB bundle requires system Python 3.11+ (same prerequisite as the terminal install path below). First launch takes ~10-30 seconds while the bundle pip-installs runtime deps to ~/.keel/mcpb-lib/py3.X/; subsequent launches are instant.
Terminal — pipx / uv (Claude Code, Codex, Cursor, Windsurf, etc.)
pipx install keel-trade
uv tool install keel-trade also works. Python 3.11+.
Then register the stdio MCP command with your agent host:
# Claude Code
claude mcp add keel -- keel mcp serve
# Codex
codex mcp add keel -- keel mcp serve
For Cursor, Windsurf, and generic MCP clients, see usekeel.io/keel-mcp#install or the agent setup guide.
First conversation with your agent
After install, sign in once via the agent (no terminal commands needed):
You: "Connect to Keel."
Agent: Calls
keel_auth_login. Browser opens to app.usekeel.io, you click Allow, tokens land in~/.keel/config.yaml. Authenticated for 30 days with transparent refresh.
Then describe what you want:
You: "Find me momentum signals for Hyperliquid top-30 perps and compose a backtest from 2024-08-15 to today."
Agent: Calls
keel_components_search→keel_components_detail_batch→keel_strategy_compose→keel_backtest_run. Returns a share URL with the full tearsheet (equity curve, Sharpe, max drawdown, per-asset attribution).
Concrete example: this share URL is a funding-carry backtest produced through exactly this flow — Sharpe 2.17 over 2024-08-15 → 2026-04-30 on real Hyperliquid data.
What the MCP exposes
The default toolset spans status, auth, components, strategy lifecycle, backtest, audit, accounts, sharing, and read-only live monitoring. Live-write tools (keel_live_deploy, keel_live_control) require an explicit opt-in toolset plus a local arming step — agents can't deploy your account without you authorizing it twice.
Full per-tool reference: usekeel.io/docs/sdk/tool-reference.
CLI usage
Every MCP outcome tool has a CLI mirror. Useful for terminals, SSH sessions, CI, scripts, or agents that prefer subprocess calls:
# Auth + status
keel auth login
keel status
# Search components, compose, backtest
keel components search "momentum"
keel strategy compose --source-file my-strategy.py --dry-run
keel backtest run str_abc123 --start-date 2024-08-15 --wait
# Inspect a strategy
keel strategy get str_abc123
keel strategy log str_abc123
Full CLI reference: usekeel.io/docs/sdk/cli-reference.
What you can do with Keel
| Task | Surface |
|---|---|
| Backtest a Hyperliquid strategy — real fees, funding, slippage, ~220 perps | usekeel.io/hyperliquid-backtest |
| Screen HL perps — momentum, funding, volume, breakout, regime | usekeel.io/lab |
| Use AI to build strategies — typed composition, not freeform code | usekeel.io/ai-trading-strategy-builder |
| Backtest portfolios across the HL universe | usekeel.io/crypto-portfolio-backtesting |
| Robustness diagnostics — walk-forward, Monte Carlo, deflated Sharpe, PBO | usekeel.io/hyperliquid |
| Deploy a strategy live on Hyperliquid (non-custodial) | usekeel.io/strategy-os |
| Compare strategies + venues | usekeel.io/compare |
| Browse documented trading strategies | usekeel.io/strategies |
Documentation
- Product page: usekeel.io/keel-mcp
- Getting started: usekeel.io/docs/getting-started
- Agent setup (per host): usekeel.io/docs/sdk/agent-setup
- CLI reference: usekeel.io/docs/sdk/cli-reference
- MCP tool reference: usekeel.io/docs/sdk/tool-reference
- REST API reference: usekeel.io/docs/api-reference
- Agent instructions (canonical, machine-readable):
AGENTS.md
Status
Alpha. The CLI and MCP surface are stable and ship to PyPI on a regular cadence; the underlying engine and component library are actively developed.
How to contribute / report a bug
See CONTRIBUTING.md. Short version:
- Bug report → open an issue using the bug template
- Feature request, question, or pattern share → use Discussions
- Security issue → email
team@usekeel.io(do not open a public issue) - Patches → PRs are welcome; we maintain in a private monorepo so PRs may take longer to land — see CONTRIBUTING for the porting process
Related
- Keel on Hyperliquid — the platform
- What is MCP?
- AI agents on Hyperliquid — the definitive guide
- Why we don't put LLMs in the trade loop
License
MIT. See LICENSE.
<p align="center"> Built by <a href="https://usekeel.io/about">the Keel Research Team</a> · <a href="https://x.com/usekeelio">@usekeelio</a> </p>
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