by mektigboy
Get live crypto exchange data from Hyperliquid: real-time coin stock prices, bitcoin price live, and market analytics fo
Provides real-time cryptocurrency market data from Hyperliquid, including mid prices, historical candlestick charts, and order book information.
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.
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.
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 content is unavailable from source data for this server.
Open GitHub repository →Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
We wired Hyperliquid into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated Hyperliquid against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend Hyperliquid for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Hyperliquid is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Hyperliquid reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
According to our notes, Hyperliquid benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Hyperliquid is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated Hyperliquid against two servers with overlapping tools; this profile had the clearer scope statement.
Hyperliquid has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
I recommend Hyperliquid for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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Stripe
MCP server for Stripe — enables Claude to interact with Stripe data and workflows.
★ —
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
