MCP.Market

Keel MCP server

online · 100% uptime
by keel-trade·io.github.keel-trade/keel-trade·v0.9.0·2 stars

Build, backtest and paper-run Hyperliquid strategies from your AI assistant.

B77/100grade B
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B77/100

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Adoption
Growing

2 stars37 downloads/wk

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How Keel compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
77/100
higher than 50% of 48,255 servers
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
1,149 ms
faster than 9% of 30,031 servers
GitHub stars
2
more than 75% of 28,688 servers
Downloads a week
37
more than 28% of 12,191 servers with a package

Release history: 2 versions in the registry since 2026-06-01, latest 2026-10-24, typically one every 144 days.

Install Keel in Claude Code, Cursor or VS Code

claude mcp add --transport http keel-trade https://mcp.usekeel.io/mcp
Add to Cursor

What the publisher says

From the Keel repository's README, as published. We do not edit it. Read it on GitHub

keel-trade

The Keel CLI and stdio MCP server. Build, backtest, and automate Hyperliquid trading strategies — with your agent in the loop for creation and a deterministic engine in the loop for execution.

Website · Product page · Docs · Sample backtest · Discussions

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:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Keel: common questions

Is Keel MCP server safe?
Mostly: it is graded B (77/100). Read the Keel safety report
How do I install Keel?
It runs remotely at mcp.usekeel.io. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Keel need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Keel maintained?
The last commit was 75 days ago (2026-08-21). The latest release is v0.9.0.
Is Keel up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does Keel compare with other MCP servers?
safety score 77/100 (higher than 50% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 1,149 ms (faster than 9% of 30,031 servers). Full comparison.