Hyperliquid / HyperEVM

io.github.sand0vvv由 GitHub 帳號 sand0vvv 發布v1.4.0更新於 Oct 24, 2026

Read-only Hyperliquid and HyperEVM data: yields, protocols, fees, markets, funding, depth.

已驗證STDIO僅桌面金融資料與分析

概覽

AI 產生的概覽

唯讀 MCP 伺服器,讓助理查詢 Hyperliquid 與 HyperEVM 資料:收益、協議、費用、永續行情、資金費率、質押、訂單簿與公開錢包。

可以做什麼
  • 查詢 HYPE 各類收益:流動性質押、借貸、LP 與金庫,並區分實際收益與代幣排放
  • 依 TVL、成長與使用者實付費用比較 HyperEVM 協議,並可查看單一協議詳情
  • 查看永續標記價格、資金費率、未平倉量、現貨交易對及跨平台預測資金費率
  • 依預測 APR、佣金與上線率排序 HYPE 驗證者
  • 查看某個池子的 APY 與 TVL 歷史,或資金費率數日來的表現
  • 查看任意公開地址:持倉、損益、強平價格、現貨餘額與質押狀況
適用情境
適合讓助理用自然語言回答 Hyperliquid 生態問題:比較收益、判斷高 APY 是實際收益還是主要來自代幣排放、檢查資金費率是否穩定,或檢視某個公開錢包。它為唯讀,適合研究與盡職調查,不適合下單交易。
執行需求
透過 npx 以 stdio 在本機執行,需要 Node.js 20 或更新版本。不需帳號、API 金鑰、環境變數或請求標頭。會連線到四個硬編碼的公開主機(Hyperliquid API 與 RPC、DefiLlama API 與 yields API),因此需要網路連線。
安裝前請注意
它無法簽署或送出交易,也不讀取任何環境變數,因此沒有可外洩的私鑰。查詢會送往第三方公開 API(Hyperliquid、DefiLlama),上游資料可能延遲或有誤;重新整理失敗時會提供舊資料並標示。上游自由文字經過過濾,但純英文的注入語句仍可能出現在上下文中。不構成投資建議。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Hyperliquid / HyperEVM,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

hyperevm-mcp

Ask your AI assistant about the Hyperliquid ecosystem in plain English. It reads. There is nowhere to put a private key, and that is the whole security model.

"what's the best HYPE yield right now"
Network HYPE staking APR: 1.80%–2.25% across 27 active validators.Anything far above this is a reward or a risk premium.
## Liquid staking (HYPE LSTs)| Protocol       | Token |   APY |  7d |     TVL || -------------- | ----- | ----: | --: | ------: || Kinetiq kHYPE  | KHYPE | 1.94% | n/a | $825.9M || stHYPE         | —     |   n/a | n/a | $173.9M || Kinetiq kmHYPE | —     |   n/a | n/a |  $36.1M |
## Lending markets| Protocol         | Asset | Supply | Borrow |  Util | Max LTV |    TVL || ---------------- | ----- | -----: | -----: | ----: | ------: | -----: || HyperLend Pooled | USDC  |  5.84% |  7.36% | 88.2% |   62.0% | $12.1M || HyperLend Pooled | USD₮0 |  5.15% |  7.94% | 72.2% |   62.0% |  $1.8M || HyperLend Pooled | WHYPE |  0.61% |  0.98% | 78.0% |   60.0% | $42.1M |
## Other HYPE yield (LP, looping, fixed-term)| Protocol     | Pool                  |    APY |  Base |       7d |   TVL | IL  || ------------ | --------------------- | -----: | ----: | -------: | ----: | --- || nest CL      | WHYPE-USDC (0.0638%)  | 38.80% |   n/a |  +0.33pp | $5.9M | yes || nest CL      | WHYPE-UBTC (0.2%)     | 32.78% |   n/a |  -9.93pp | $1.7M | yes || Ramses CL V2 | WHYPE-USDC (CL 0.11%) | 30.14% | 0.00% | -29.96pp | $1.8M | yes |
## Protocol vaults| Vault                         |     TVL |     24h |      7d |     30d || ----------------------------- | ------: | ------: | ------: | ------: || Hyperliquidity Provider (HLP) | $225.7M | -0.003% | +0.010% | -0.024% |
Note: 3 of the rows above are mostly token emissions rather than earned yield.Compare the APY and Base columns — emissions stop when the issuing teamdecides they stop.

Four of those cells read n/a. That is the point: stHYPE publishes no yield pool, and kHYPE's weekly delta came back from the source implying the pool paid nothing seven days ago, which its own daily history contradicts. A number we cannot stand behind is not printed.

The vault row shows the same rule twice over. HLP has no pool on DefiLlama at all, so a table built from that source alone silently omits the largest single place to deposit on the chain — it is read from Hyperliquid instead. And Hyperliquid's own APR field for it is not shown, because the same value means one thing as an annual rate and something 365 times larger as a daily one, and the vault's history does not settle which. What is shown is realised profit and loss per window, divided here, where the arithmetic is ours to defend.

Then ask whether to believe one of those rates:

"has that Ramses WHYPE-USDC pool actually been paying 100%?"
## Pool historyPool:                   WHYPE-USDCProject:                Ramses CL V2APY now:                16.86%APY 7d ago:             144.75%APY 30d ago:            107.77%Earned vs emitted now:  0.00% earned · 16.86% emittedTVL change over window: -10.7%
| Date (UTC) |     APY | Earned | Emitted |   TVL || ---------- | ------: | -----: | ------: | ----: || 2026-06-27 | 107.77% |  0.00% | 107.77% | $1.9M || 2026-07-09 |  70.09% |  0.00% |  70.09% | $2.0M || 2026-07-21 |  58.80% |  0.00% |  58.80% | $1.8M || 2026-07-26 |  16.86% |  0.00% |  16.86% | $1.7M |

Zero earned, every day, for a month.

Install

Claude Code

bash
claude mcp add hyperevm -- npx -y @sand0vvv/hyperevm-mcp

Cursor, Claude Desktop, or any MCP client — add to the config file:

json
{  "mcpServers": {    "hyperevm": {      "command": "npx",      "args": ["-y", "@sand0vvv/hyperevm-mcp"]    }  }}

That is the whole setup. Nothing to fill in afterwards — there is no account to authenticate against.

Try asking

  • what's the best HYPE yield right now
  • compare lending rates on HyperEVM
  • which HYPE pools are just token emissions and which actually earn
  • has that 40% APY held up, or is it decaying
  • is BTC funding actually stable, or was that one hour
  • who earns the most fees on this chain
  • could I actually get out of $500k of HYPE
  • which protocols grew this week
  • tell me about HyperLend
  • what's in this wallet: 0x…
  • where should I stake HYPE and what does the commission cost me

Tools

Nine tools. Five report the present, three report how it got there, one reads an address.

ToolWhat it answers
hyperevm_yieldsEvery yield on HYPE in one table: liquid staking, lending with supply/borrow/utilisation/max LTV, LP and looping, and the HLP vault — with earned yield separated from token emissions
hyperevm_protocolsWhat is deployed on HyperEVM: chain TVL, per-protocol TVL, 1d/7d change, sortable by size or weekly growth; a detail card for any one protocol
hyperevm_feesFees users actually paid, ranked over 24h/7d/30d. TVL says how much money sits somewhere; this says whether anyone is paying to use it
hl_marketPerp mark price, funding hourly and annualised, open interest, 24h volume; spot pairs; predicted funding across Hyperliquid, Binance and Bybit
hl_stakingHYPE validators ranked by predicted APR, with commission, uptime and stake share — what the network pays before any wrapper takes its cut
hyperevm_pool_historyOne pool's APY and TVL over weeks, split into earned versus emitted — so a headline rate can be checked against its own history
hl_fundingHow funding actually behaved over days: average, range, how much of the time it held its sign, and what the position would have paid
hl_orderbookSpread and resting depth, and whether a given trade size fills inside the visible book — or a plain statement that it does not
hyperevm_walletAny public address: account value, open positions with entry, unrealised PnL and liquidation price, spot balances, HYPE staking

The pairs are deliberate. hyperevm_yields and hl_market tell you what a number is now; hyperevm_pool_history and hl_funding tell you whether to believe it. A 47% pool that has been 100% emissions for a month and a 20% pool earning fees are not the same product, and only the second pair can tell them apart.

Slash commands

The server also ships MCP prompts, which appear as slash commands in Claude Code:

PromptWhat it does
yield-reportStaking, liquid staking, lending and LP in one pass, ranked with emissions called out
protocol-briefOne protocol: size, mechanics, where its yield sits, how it compares
wallet-reviewA public address: exposure, funding cost per day, idle balances
funding-scanWhere Hyperliquid funding diverges from Binance and Bybit

What this server does not do

It has no write path. Not "disabled by default" — the code to sign or send anything does not exist.

  • Nothing here can move money. The code that would sign a transaction is not in this package.
  • Nothing to configure either: the server reads no environment variables, so there is nothing to leak.
  • The filesystem is never touched, no process is ever started, and no telemetry leaves the machine.
  • Talks to exactly four hosts, hardcoded in src/core/http.ts: api.hyperliquid.xyz, api.llama.fi, yields.llama.fi, rpc.hyperliquid.xyz. No tool takes a URL, host or chain as a parameter.

None of that is a promise — it is a test. npm run audit checks every line above against the source and exits non-zero if one stops being true; it runs in CI before publish. Adding a fs import or a second network host fails the build rather than reaching you:

$ npm run auditcapability  ok    does not read or write the filesystem  ok    does not spawn processes  ok    does not open raw sockets or listen  ok    does not evaluate code at runtime  ok    reads no environment variables — there is nothing to configure  ok    no crypto, signing or key handling anywherenetwork surface  ok    contacts exactly 4 hosts, all hardcoded  ok    no tool accepts a URL, host or endpoint as a parameter  ok    every outbound call goes through the allowlisted fetch wrappertype-level guarantee  ok    the Safe escape hatch exists in exactly one file  ok    renderers accept only Safe text, so unsanitised output cannot compile  ok    prompts are authored here, never assembled from network datadata handling  ok    never reads free-text descriptions from upstream  ok    stdout carries the MCP protocol only  ok    every tool answers through the envelope, including on failuresupply chain  ok    no install-time lifecycle scripts  ok    exactly 2 direct dependencies  ok    published tarball contains build output only
every claim in the README is enforced here

The whole server is a few thousand lines of TypeScript. It is meant to be read before you install it.

Three details worth knowing

Lending rates are not where they look like they are. DefiLlama's /pools reports 0.00% for collateral markets — truthfully, since their supply rate really is zero. The rate lives in a second endpoint, /lendBorrow, joined on the pool id. A naive integration prints a table of zeros over a $239M market. This one joins them and shows supply, borrow and utilisation separately.

Missing data is shown as missing. stHYPE ($172M) and beHYPE publish no yield pool on DefiLlama, so their APY appears as n/a next to their real TVL, with the network staking APR printed above as a reference. A zero standing in for "unknown" would be the most expensive thing this tool could print.

Emissions are not yield. The top pools by headline APY are often paying entirely in their own token. The table carries a Base column next to APY, so 48.86% / base 0.00% reads as what it is, and a note names the rows where most of the number is emissions. The 7d column shows the same thing over time: that pool's APY fell 30 percentage points in a week.

Third-party text and prompt injection

This server is read-only and cannot act. But it carries text written by strangers into your agent's context, next to whatever else that agent can do — a wallet, a shell. Validator names on Hyperliquid are free text set by whoever runs the validator; DefiLlama protocol names come from pull requests. So the text is treated as hostile, in three layers.

1. Fields that are not needed are never read. description — 445 characters of free text on a validator, 599 on a DefiLlama protocol — is not parsed anywhere in the code. The audit fails the build if that changes.

2. An allowlist, not a blocklist. Everything printed passes a filter that keeps letters, digits, currency signs and a short list of punctuation, and drops everything else. Not a list of bad sequences to catch — a list of what may pass. So <|im_start|>, [INST], ###, {{, backticks and table pipes cannot survive, because the characters that build them are not on the list. Input is NFKC-normalised first, so full-width lookalikes fold to ASCII before the filter rather than after.

3. The type system, not discipline. Sanitised text has its own type. The renderers accept nothing else, so printing a raw upstream field is a compile error rather than a code-review miss. There is exactly one place where that type can be created from a plain string, and the audit fails the build if a second appears.

A test feeds a poisoned upstream response — chat-template markers, a javascript: URL, an injected instruction, a fence in the slug — through a real tool and asserts that none of it reaches the output in a form that can do anything.

What this does not do: it cannot stop plain English. A validator named "ignore previous instructions" still reads as those words. The answers to that are the field whitelist, the 24-character cap, and the fact that this server exposes no action for such a sentence to trigger — not a cleverer filter. Anyone claiming a filter solves prompt injection is selling something.

Details in SECURITY.md.

Requirements

Node 20 or newer. Two direct dependencies: @modelcontextprotocol/sdk and zod. (The SDK brings its own tree, as it does for every MCP server; nothing else is added on top.)

Development

bash
npm installnpm test          # build, unit tests, behaviour checks — runs offlinenpm run verify    # the above plus the self-audit and a real MCP handshake

Individually:

bash
npm run buildnode scripts/test.mjs           # units: numbers, tables, the sanitiser, the cachenpm run check     # behaviour: injection end-to-end, allowlist, retry, stale fallback, outagenpm run audit     # enforces every claim in this README against the sourcenpm run preflight # fails if this repository contains anything that should not be publicnpm run smoke     # every tool against the live public APIsnpm run stdio     # spawn the server and speak MCP to it

The unit tests cover the parts that decide what a reader sees: that "unknown" renders as n/a and never as 0, that percentage points and percentages stay different units, that a cell cannot forge a table column, that a failed refresh serves the previous answer and says so. The behaviour checks drive poisoned upstream responses through whole tools.

Disclaimer

Unofficial and community-built. Not affiliated with Hyperliquid or with any protocol listed. Data comes from public APIs and may be delayed or wrong; DefiLlama refreshes roughly every 30 minutes. When a refresh fails the previous answer is served with a visible "REFRESH FAILED, this is N min old" label rather than an error — old data is useful, old data pretending to be fresh is not. Not financial advice.

MIT © sand0vvv

來源:README.md,提交 8063254

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  1. v1.4.0最新Sep 16, 2026

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