Execution layer for trading agents on Hyperliquid: risk limits enforced outside the model
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
claude mcp add reins -- npx -y @r2rlabs/reins{
"mcpServers": {
"reins": {
"command": "npx",
"args": ["-y", "@r2rlabs/reins"],
"env": {
"REINS_PRIVATE_KEY": "<reins_private_key>"
}
}
}
}REINS_PRIVATE_KEYMCP Servers overview
# Reins **Let an AI agent trade without giving it the power to lose everything.** ```bash npx @r2rlabs/reins init # adds a paper-trading Reins server to .mcp.json ``` See it at work: [an AI agent trading Hyperliquid on paper, run 2](https://gist.github.com/R2Rlabs/246a5009684787a586ddee1d2615eb14). The source is on GitHub: [R2Rlabs/reins](https://github.com/R2Rlabs/reins). Every limit in this README is a function you can read. ### What Reins is - **Limits the agent can't argue with.** Every order passes checks that live outside the model: position size, leverage, daily loss, which markets it may trade, and a stop-loss on every position. No prompt, clever reasoning or mistake gets around them. - **A record you can check.** Every decision is logged with the reason the agent gave — including the orders it was refused, the times it chose to wait, and what the exchange did without it. You can compare what the agent *said* with what actually *happened*. - **Somewhere to rehearse.** Paper trading on live Hyperliquid prices with realistic fills and fees, using the same tools and limits as live trading. - **Non-custodial.** Your money stays in your own Hyperliquid account. Reins trades through an API wallet, which can place orders but cannot withdraw. - **Paid for openly.** A small builder fee (2 bp) on live orders, shown up front. ### What Reins is not - **Not a trading bot or a strategy.** Reins doesn't decide what to trade and won't make an agent profitable. The demo agent is a test drive, not the product. - **Not an exchange, broker or custodian.** It holds no funds and matches no orders; Hyperliquid does that. - **Not a promise against losses.** Limits cap how much can go wrong. They don't make bad trades good, and stops can slip in fast markets. - **Not financial advice.** - **Not something you have to take on trust.** Not the agent's word, and not ours: every action is on the record. ### Principles 1. Limits live outside the model. 2. The record outranks the reasoning. 3. Paper before real money. 4. Your keys, your funds. ## Why this exists Several open-source Hyperliquid MCP servers already exist. They are thin API wrappers: you hand them a private key and hope the model behaves. The gap is everything around that — the limits, the sandbox, the audit trail. That is what this repo is. ## Status Early, but real. 391 tests, no network calls in any of them. | Module | What it does | |---|---| | `src/risk.ts` | The risk engine — position cap, risk per trade, leverage cap, daily loss halt, allowlist, rate limit | | `src/client.ts` | Hyperliquid REST client — orders, cancels, book, candles, fills, account state, builder code | | `src/mcp-server.ts` | The agent-facing tools, each risk-checked and logged before anything is sent | | `src/paper.ts` | Paper trading — live prices, simulated fills. See below | | `src/paper-store.ts` | Persists a paper run across restarts | | `src/trading-client.ts` | The interface live and paper both satisfy | | `src/decision-log.ts` | Append-only record of every attempt and its stated reason | | `src/decision-log-file.ts` | JSON Lines log on disk | | `src/bin/cli.ts` | The `reins` command: `serve` (default), `init`, `approve-builder`, `live-check`, `http` and `stats` | | `src/bin/serve.ts` | stdio entry point | | `src/bin/http.ts` | `reins http` — the HTTP server: token, binding, JSON | | `src/http-api.ts` | The same nine tools as HTTP routes, for bots that do not speak MCP | | `src/runtime.ts` | The limits, client, log and banner both front doors share | | `src/init.ts` | `reins init` — writes a paper-mode server entry into `.mcp.json` | | `src/builder-fee.ts` | Reins' builder fee, and the approval live trading needs before it starts | | `src/approve-builder.ts` | `reins approve-builder` — the user approves the builder fee in their own wallet | | `src/live-check.ts` | `reins live-check` — proves the live exchange accepts what Reins sends | | `src/platform-stats.ts` | `reins stats` — accounts, trades, volume and fees through Reins' builder code | | `src/lz4.ts` | Reads Hyperliquid's LZ4-compressed data files, without a dependency | | `src/builder-approval.ts` | The ApproveBuilderFee action: EIP-712 typed data, signature checks | | `src/format.ts` | Price and size formatting to Hyperliquid's tick and lot rules | | `src/signing.ts` | L1 action signing, verified against the Python SDK's vectors | | `src/private-key-signer.ts` | A Signer backed by a private key | | `src/signer.ts` | The Signer interface plus a stub. See "On signing" below | | `src/mock-transport.ts` | In-memory API stand-in, so agents can be tested without a network | | `examples/demo-agent/` | Claude trading on paper through Reins, producing a publishable decision log | All of it works end to end. Going live is now a matter of funding an account and setting `REINS_MODE=live` with a key. ### Going live ```bash REINS_MODE=live REINS_NETWORK=testnet # mainnet spends real money REINS_ACCOUNT_ADDRESS=0x... # your Hyperliquid account REINS_PRIVATE_KEY=0x... # an API wallet's key, not your account's; omit to stay read-only ``` On mainnet, approve Reins' 2 bp builder fee once, from the account's own wallet, before the first live session: `npx @r2rlabs/reins approve-builder`. Until the account has, live mode refuses to start and says so. **Use an API wallet, not your account's own key.** Hyperliquid lets an account approve API wallets that can trade for it but cannot withdraw from it — create one on Hyperliquid's API page, signing the approval with your main wallet. Put its key in `REINS_PRIVATE_KEY` and your account's address in `REINS_ACCOUNT_ADDRESS`: orders are signed by the API wallet, while positions, fills and stops are read from the account, because under the API wallet's own address the account looks empty. The startup banner names both. Hyperliquid prunes API wallets that expire or are replaced; make a fresh one rather than reusing an old address. Every account mode works. Hyperliquid starts new accounts in **Unified**, where the USDC sits in the spot balance and the perps account reads $0; Reins asks the account which mode it is in and, for Unified and Portfolio margin, takes equity from the USDC balance plus the positions' unrealized PnL. Manual accounts are read from perps as before. (A *builder* address is different: it must be in Manual — `standard` — to earn fees.) Defaults are deliberately safe: `REINS_MODE` is `paper` and `REINS_NETWORK` is `testnet`, so trading real funds takes two explicit changes rather than one forgotten variable. Live mode without a key stays read-only instead of failing at the first order, and mainnet prints a loud banner on startup. The private key is only read in live mode — paper never signs anything, so it is never handed the means to. ## See it run ```bash npm run build npm run demo -- --scripted # free: no API key, live prices, paper fills ``` With an Anthropic API key, `npm run demo` runs Claude as the agent under a hard spending cap. See [`examples/demo-agent`](examples/demo-agent/) for cost, limits and how to publish the result honestly. ## The decision log Every attempted action is appended to a log with the reason the agent gave for it — **including the ones the risk limits refused.** That is the point. "The agent tried to open six times its position cap at 3am, and here is what it said it was doing" is the most useful thing this system can tell you, and it only exists if refusals are written down. `place_order`, `close_position` and `set_stop_loss` take a **required** `reason`. An optional field gets omitted; a required one gets answered. Records are JSON Lines — one self-contained object per line, appended, never rewritten. Appends stay cheap as the file grows, a truncated write damages one line instead of the file, and you can query it with ordinary tools: ```bash jq -r 'select(.risk.allowed == false) | [.time, .risk.code, .reason] | @tsv' decisions.jsonl ``` Each record holds the stated reason, the request, the account context at the time, the risk verdict, and the outcome. Set `REINS_LOG_FILE` to persist it; without it the log lives in memory and dies with the process. The exchange also acts on its own: a stop-loss fires, a resting order fills hours after it was placed. Before every tool call Reins compares the account's fills with the log and appends each one it has not seen as an `exchange_fill` record, whose reason starts "Not an agent decision:" and says whether it was a stop, a resting order, or a fill Reins did not place. Without them the trade that mattered most, the stop that closed it, would be missing from the record. The agent reads them back through `get_recent_decisions` like anything else. ### Two things to be clear about **`reason` is testimony, not ground truth.** It is the model's own account of why it acted, captured because reasoning that is not asked for cannot be recovered later. A model can rationalise after the fact, and a confident explanation is not evidence that the explanation is what actually drove the decision. It is extremely useful for debugging and audit. It is not proof. **A failed log write never fails a filled order.** If the log cannot be written, the tool still reports success and attaches a warning. An agent told its order failed will place it again — so a lost log line would become a doubled position, which is far worse than the missing line. The risk engine is the safety mechanism; the log is observability. ## Paper trading `REINS_MODE=paper` (the default) runs the same tools, the same risk engine and the same agent against **real prices with simulated fills**. Nothing is signed and nothing reaches the exchange. Paper and live are swapped behind one interface, so an agent cannot tell which one it is talking to — which is the point. A strategy that works on paper runs unchanged on live. ### What the simulation models - **Real book depth.** A large o
What people ask about reins
What is R2Rlabs/reins?
+
R2Rlabs/reins is mcp servers for the Claude AI ecosystem. Execution layer for trading agents on Hyperliquid: risk limits enforced outside the model It has 0 GitHub stars and its last recorded update is dated 2026-09-27.
How do I install reins?
+
You can install reins by cloning the repository (https://github.com/R2Rlabs/reins) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is R2Rlabs/reins safe to use?
+
Our security agent has analyzed R2Rlabs/reins and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains R2Rlabs/reins?
+
R2Rlabs/reins is maintained by R2Rlabs. The last recorded GitHub activity is dated 2026-09-27, with 0 open issues.
Are there alternatives to reins?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
Deploy reins to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/r2rlabs-reins)<a href="https://claudewave.com/repo/r2rlabs-reins"><img src="https://claudewave.com/api/badge/r2rlabs-reins" alt="Featured on ClaudeWave: R2Rlabs/reins" width="320" height="64" /></a>More MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
The fastest path to AI-powered full stack observability, even for lean teams.