Hyperliquid▌
by mektigboy
Get live crypto exchange data from Hyperliquid: real-time coin stock prices, bitcoin price live, and market analytics fo
Integrates with the Hyperliquid SDK to provide real-time cryptocurrency market data, including mid prices, historical candlesticks, and L2 order book information for traders and analysts.
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best for
- / Cryptocurrency traders analyzing market data
- / Financial analysts building trading models
- / Developers creating crypto market applications
capabilities
- / Retrieve mid prices for all crypto coins
- / Get historical candlestick data with custom time intervals
- / Access L2 order book data for any token
- / Query real-time market information
what it does
Provides real-time cryptocurrency market data from Hyperliquid, including mid prices, historical candlestick charts, and order book information.
about
Hyperliquid is a community-built MCP server published by mektigboy that provides AI assistants with tools and capabilities via the Model Context Protocol. Get live crypto exchange data from Hyperliquid: real-time coin stock prices, bitcoin price live, and market analytics fo It is categorized under finance, analytics data.
how to install
You can install Hyperliquid in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Hyperliquid is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
README content is unavailable from source data for this server.
Open GitHub repositoryFAQ
- What is the Hyperliquid MCP server?
- Hyperliquid is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Hyperliquid?
- This profile displays 53 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★53 reviews- ★★★★★Arya Mehta· Dec 16, 2024
We wired Hyperliquid into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Soo Li· Dec 12, 2024
We evaluated Hyperliquid against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Arjun Agarwal· Dec 12, 2024
I recommend Hyperliquid for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Shikha Mishra· Dec 8, 2024
Hyperliquid is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Soo Robinson· Dec 8, 2024
Hyperliquid reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Omar Ndlovu· Dec 8, 2024
According to our notes, Hyperliquid benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Noor Martinez· Dec 4, 2024
Hyperliquid is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Yash Thakker· Nov 27, 2024
We evaluated Hyperliquid against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Ama Agarwal· Nov 27, 2024
Hyperliquid has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Olivia Kapoor· Nov 23, 2024
I recommend Hyperliquid for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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