Skip to main content
Glama
501,461 tools. Updated 2026-09-01 03:33

"Hyper" matching MCP tools:

  • Get Hyperliquid perpetual futures trader leaderboard with performance metrics. Returns: Trader performance rankings as markdown. Columns returned: - **Address** / **Label**: trader wallet, and its Nansen label if any - **Total PnL** (USD): realized + unrealized over the date range - **Realized PnL** (USD): net, from positions closed in the range. Being a net total it shows no per-trade outcome, so no win rate can be derived from it or any other column here - **Unrealized PnL** (USD): on positions still open, at the current mark price - **ROI** (%): Total PnL / (traded notional + open notional) — PnL per dollar traded, not return on capital - **Volume** (USD): traded notional; both fills of a position count - **Trades**: number of fills - **Account Value** (USD): only available for the top 500K traders This is an overview of top traders and their headline stats. For a trader's open positions, call `address_portfolio` with `mode='hyperliquid'`. **Sorting**: total_pnl, realized_pnl_usd, unrealized_pnl_usd, roi, volume_usd, total_trades, account_value **Filtering** (from/to): totalPnl (USD), accountValue (USD), roi (a fractional ratio, not the percent shown — pass 0.1 for "10% or better", not 10) Example: ``` { "date": {"from": "7D_AGO", "to": "NOW"}, "accountValue": {"from": 100000, "to": 1000000}, "totalPnl": {"from": 10000}, "order_by": "total_pnl", "orderByDirection": "DESC" } ``` Rank by traded volume instead: `"order_by": "volume_usd"` Notes: - Hyperliquid perpetual futures only - Null/empty means data is not available — do not read it as zero
    Connector
  • Get Hyperliquid perpetual futures trader leaderboard with performance metrics. Returns: Trader performance rankings as markdown. Columns returned: - **Address** / **Label**: trader wallet, and its Nansen label if any - **Total PnL** (USD): realized + unrealized over the date range - **Realized PnL** (USD): net, from positions closed in the range. Being a net total it shows no per-trade outcome, so no win rate can be derived from it or any other column here - **Unrealized PnL** (USD): on positions still open, at the current mark price - **ROI** (%): Total PnL / (traded notional + open notional) — PnL per dollar traded, not return on capital - **Volume** (USD): traded notional; both fills of a position count - **Trades**: number of fills - **Account Value** (USD): only available for the top 500K traders This is an overview of top traders and their headline stats. For a trader's open positions, call `address_portfolio` with `mode='hyperliquid'`. **Sorting**: total_pnl, realized_pnl_usd, unrealized_pnl_usd, roi, volume_usd, total_trades, account_value **Filtering** (from/to): totalPnl (USD), accountValue (USD), roi (a fractional ratio, not the percent shown — pass 0.1 for "10% or better", not 10) Example: ``` { "date": {"from": "7D_AGO", "to": "NOW"}, "accountValue": {"from": 100000, "to": 1000000}, "totalPnl": {"from": 10000}, "order_by": "total_pnl", "orderByDirection": "DESC" } ``` Rank by traded volume instead: `"order_by": "volume_usd"` Notes: - Hyperliquid perpetual futures only - Null/empty means data is not available — do not read it as zero
    Connector
  • Run a GraphQL introspection query to discover the project's schema — all types and fields, including the available flags and the shape of the evaluation context. Best-effort: some edge deployments disable introspection, in which case this returns a clear error (use hypertune_query with a known flag name instead).
    Connector
  • Where Hyperliquid smart money is positioned. Filters the HL leaderboard to consistent directional traders (excludes market-makers + dust), then aggregates their live positions into a per-coin consensus (long/short counts, net notional, bias, conviction) plus a top-trader drill-down. Optionally focus one coin via `market`. A positioning signal, not a trade — use as confluence/risk context, not a standalone entry.
    Connector
  • Fetch the underlying LOGIC of flags without reducing them — i.e. `query { root { <selection> } }` with no context. Returns the flag's conditional expression / rules rather than a single resolved value, useful for inspecting how a flag is configured. If the schema requires a context arg you can still pass a partial one via `context`.
    Connector
  • List the project's top-level feature flags (the fields of the query root type) with their return types and descriptions, derived from GraphQL introspection. A convenient first call to see what flags exist before evaluating. Requires introspection to be enabled on the edge endpoint.
    Connector

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    A fast, secure MCP server that extends its capabilities through WebAssembly plugins. Enables plugins written in any language to be distributed via OCI registries and run across cloud to edge.
    880
    Apache 2.0
  • A
    license
    Not graded
    quality
    F
    maintenance
    A configurable MCP server wrapper for Cursor that eliminates tool count limits when using the Model Context Protocol.
    22
    10
    GPL 3.0

Matching MCP Connectors

  • Generate hyper-personalized cold email sequences via MachFive API.

  • Hyper AI MCP server

  • Live Hyperliquid perp positions for an EVM (0x) address, read from HL's public on-chain state. Per-position side, leverage, notional, entry, unrealized PnL, distance-to-liquidation, and risk flags. Account value, directional bias, profile (directional/market-neutral/diversified), and realized+unrealized PnL over week/month/all-time. The building block for HL smart-money tracking.
    Connector
  • Use only for specialized X (Twitter) research planning: complaints, bug reports, feature requests, product feedback, or community signals. Builds multiple noise-reduced official x.com/search URLs and quality scores. It is not general web search and does not scrape X or collect posts.
    Connector
  • Evaluate one or more feature flags for a given context and get their resolved values. Builds `query { root(context: <context>) { <selection> } }`. Provide `selection` = the flag fields to read (e.g. `exampleFlag anotherFlag { nestedField }`) and `context` = the evaluation context (environment + user/attributes). Every field must supply all of its arguments (Hypertune reduces the flag logic to a JSON result). Use hypertune_list_flags / hypertune_introspect first if you don't know the flag names.
    Connector
  • Run an arbitrary GraphQL query (and optional variables) against the Hypertune edge endpoint. Power-user escape hatch for full control — each Hypertune project has its own generated schema, so this handles any flag shape, nested selections, inline enum literals, or variables the convenience tools can't express. The query root field is `root(context: ...)`.
    Connector
  • Hyperscaler AI Deal Tracker — live feed of Stargate, OpenAI, Anthropic, Microsoft, Oracle, CoreWeave, AMD, NVIDIA, sovereign-AI deals. Pulls from dchub news pipeline, extracts $-figures + MW via regex, classifies by actor. 10-min refresh. Use for tracking AI capex events ($1B+/week typical), capacity announcements, and competitive intel. Do NOT use for the full historical M&A comp set (use list_transactions) or a single-deal teardown with grid context (use deal_autopsy); this is the live $1B+ AI-capex feed.
    Connector
  • Use after X posts or tweet text have already been collected. Separates actionable bugs, feature requests, and UX friction from empty praise, engagement bait, and spam. It does not fetch, scrape, or search X.
    Connector
  • The AI Face Reshape API lets you programmatically reshape facial features — eyes, nose, lips, jawline, or the whole face — with pixel‑perfect control. Use it to generate before/after visualisations for rhinoplasty, chin fillers, lip augmentations, brow lifts and any other aesthetic‑treatment workflow. * Rhinoplasty (Nose Job) Our online rhinoplasty simulator offers medical-grade precision adjustments. Unlike generic photo editing apps, it allows for comprehensive simulation of specific details, including the Bridge, Lift, and Wing. With our hyper-realistic previews, clients can clearly visualize and explore their ideal proportions before consulting. * Chin Filler Through our online simulator, you can preview the ideal proportions achieved with chin fillers. Fine-tune Chin Length and Chin Shape to visualize improvements for a receding or short chin. Discover the optimal solution to balance your facial profile before undergoing any dermal filler treatments. * Lip Filler Users can experiment with different volumes and shapes of lip fillers to simulate the appearance of fuller lips, helping them decide on the desired outcome before undergoing the procedure. * Brow Lift Surgery This functionality enables users to preview the results of a brow lift, which involves lifting and reshaping the eyebrows to create a more youthful and rejuvenated appearance.
    Connector
  • Hyperliquid all mid prices. (x402: 0.001 USDC per call) HTTP equivalent: GET /x402/hyperliquid-all-mids Payment: x402 protocol — send X-PAYMENT header with base64 payment payload, or X-API-Key / X-Owner-Key / Bearer token to bypass.
    Connector
  • Agregat posisi wallet whale on-chain Hyperliquid (HYPERLIQUID_WHALE_WATCHLIST, curated manual) untuk satu coin -- delta size vs snapshot 15 menit sebelumnya (akumulasi/reduksi/flip arah), plus confidence (persentase wallet searah). Beda dari data candle/orderbook: ini posisi on-chain riil per address, gak bisa spoof. Kosong kalau watchlist belum diisi.
    Connector
  • Step into the future of fashion with our Hyper-Realistic AR Try-On for Headwear, powered by cutting-edge AI technology. This innovative solution transforms online shopping into an immersive experience, allowing customers to virtually try on headwear with unmatched precision and realism. From instant style discovery to true-to-life visualization, our AR technology ensures every hat and headband looks and feels authentic. Helping shoppers find their perfect fit and style before they buy. Elevate engagement, boost confidence, and redefine the way customers interact with your products.gender must be explicitly provided by the user. If missing, ask the user for clarification and set the parameter once received.
    Connector
  • AI Eye Color Lens Virtual Simulation provides instant, hyper‑realistic contact lens try‑on by precisely detecting the iris, preserving natural reflections, accurately simulating lens opacity and blending across all iris colors, and enabling users to explore shades from subtle enhancements to vibrant blue transformations, all within a single, professional‑grade AI API. **Contact Lenses Virtual Simulation** Transform eye color instantly with our AI‑powered virtual try‑on tool. The AI Eye Color Lens Virtual Try‑On delivers hyper‑realistic results by precisely detecting the iris and applying natural, lifelike color adjustments, allowing shoppers to explore new styles without physical samples. **Hyper‑Realistic Output** The system preserves natural eye reflections for authentic results, ensuring each color transformation looks true to life. **Advanced Contact Filter Simulation** The contact lens filter accurately replicates opacity and blending across different iris base colors, enabling customers to virtually try on a full range of lenses with realistic depth and tone. **More Than an Eye Color Changer** This technology goes beyond simple filters, offering a professional‑grade virtual lens experience that enhances customer confidence and boosts conversion.
    Connector
  • Hyperliquid meta universe (public info endpoint). (x402: 0.001 USDC per call) HTTP equivalent: GET /x402/hyperliquid-meta Payment: x402 protocol — send X-PAYMENT header with base64 payment payload, or X-API-Key / X-Owner-Key / Bearer token to bypass.
    Connector