Rug-Check-MCP is an MCP server designed to analyze Solana meme tokens for potential risks, leveraging data from the Solsniffer API. It provides comprehensive token analysis through the 'analysis_token' tool, delivering structured information on risk scores, market data, and security factors. The solution aids AI agents and clients in identifying high-risk or unsafe projects, helping protect users from fraudulent tokens. Installation is streamlined for Smithery and manual Python environments.

• ⭐ 15
• MCP
• kukapay/rug-check-mcp

Raydium LaunchLab MCP is an MCP-compliant server that lets AI agents mint, buy, and sell bonding-curve tokens on the Raydium Launchpad. It supports seamless token creation with customizable parameters, buying and selling via Solana transactions, and decentralized metadata storage through IPFS integration. Developers can automate LaunchLab interactions by exposing standardized command interfaces for agent-driven workflows.

• ⭐ 3
• MCP
• kukapay/raydium-launchlab-mcp

PayPal Agent Toolkit streamlines the integration of PayPal APIs with leading agent frameworks such as OpenAI's Agent SDK, LangChain, Vercel's AI SDK, and supports the Model Context Protocol (MCP). It provides TypeScript-based tools to enable function calling for invoices, payments, disputes, shipments, catalogs, subscriptions, and business insights. Designed to simplify the connection between agent-based AI workflows and PayPal services, it allows developers to configure and deploy complex financial and operational automation solutions.

• ⭐ 165
• MCP
• paypal/agent-toolkit

PumpSwap MCP Server allows AI agents to interact with the PumpSwap DEX on Solana for automated, real-time token swaps and on-chain trading operations. It exposes commands for buying and selling tokens, querying token prices, and retrieving liquidity pool information. Designed for secure integration with Solana accounts, it enables customizable slippage and transaction fees while supporting context-driven, AI-issued commands. The server operates as a bridge between AI agents and the PumpSwap protocol, facilitating seamless trading and data queries.

• ⭐ 5
• MCP
• kukapay/pumpswap-mcp

PancakeSwap PoolSpy MCP Server provides a Model Context Protocol-compatible service for monitoring newly created liquidity pools on PancakeSwap. It offers real-time analytics including pool address, tokens, creation timestamp, volume, and total value locked. Users can customize queries for time range and results count, making it valuable for traders, analysts, and developers seeking up-to-date DeFi insights. The server is designed for easy deployment and integration via Smithery or manual setup.

• ⭐ 6
• MCP
• kukapay/pancakeswap-poolspy-mcp

Jupiter MCP Server enables the execution of token swaps on the Solana blockchain through Jupiter’s Ultra API, integrating DEX routing and RFQ for optimal pricing. It fetches swap orders and executes transactions, handling slippage, priority fees, and transaction confirmations. The system is designed to operate within the Model Context Protocol, exposing tool interfaces for structured input and output. Node.js 18+ and access to a Solana wallet and RPC node are required.

• ⭐ 21
• MCP
• kukapay/jupiter-mcp

Advanced Unity MCP from Code Maestro enables direct interaction with the Unity Editor using natural language commands powered by AI. It bridges AI assistants like Code Maestro Desktop App, GitHub Copilot, Cursor, and others to the Unity Editor using the Model Context Protocol (MCP). Users can automate Unity tasks such as asset management, scene configuration, building projects, and more without manual intervention. The system supports both direct and relay server connections for flexible integration with various AI clients.

• ⭐ 70
• MCP
• codemaestroai/advanced-unity-mcp

Hyperliquid WhaleAlert MCP is an MCP server that delivers real-time notifications and summaries for high-value positions on the Hyperliquid exchange, specifically flagging positions exceeding $1 million in notional value. It provides tools to fetch recent whale transactions in a well-formatted Markdown table and prompts to generate comprehensive analytical summaries of whale activity. Designed for seamless integration with Claude Desktop and AI model context handling protocols, it utilizes the CoinGlass API and Python 3.10+. The toolset enhances oversight and analysis of significant trading activities for users and LLM-integrated applications.

• ⭐ 9
• MCP
• kukapay/hyperliquid-whalealert-mcp

spotify-mcp is an MCP server designed to link Claude-powered AI interfaces with Spotify, enabling advanced music control and information retrieval. It supports actions like starting, pausing, and skipping playback, searching and retrieving details for tracks, albums, artists, and playlists. The project supports managing Spotify queues and playlists, leveraging the official Spotipy API. Configuration guidance for MCP-enabled clients and local/hosted deployment options are provided.

• ⭐ 528
• MCP
• varunneal/spotify-mcp

CMD MCP Server is an implementation of the Model Context Protocol (MCP) for executing CMD commands on Windows and Linux systems, with additional support for SSH connections. It enables seamless integration of command-line operations with MCP-compatible applications, leveraging the official MCP SDK. Written in TypeScript for cross-platform compatibility, it allows programmatic execution, configuration, and extension of CMD operations through standardized protocols. The server is designed for easy installation, robust configuration, and developer-friendly extension.

• ⭐ 22
• MCP
• PhialsBasement/CMD-MCP-Server

Taskade MCP provides an official server and tools to implement and interact with the Model Context Protocol (MCP), enabling seamless connectivity between Taskade’s API and MCP-compatible clients such as Claude or Cursor. It includes utilities for generating MCP tools from any OpenAPI schema and supports the deployment of autonomous agents, workflow automation, and real-time collaboration. The platform promotes extensibility by supporting integration via API, OpenAPI, and MCP, making it easier to build and connect agentic systems.

• ⭐ 90
• MCP
• taskade/mcp

Todoist MCP Server enables integration of Claude with Todoist, allowing users to manage their tasks using natural language commands. It implements the Model Context Protocol (MCP), providing tools for creating, updating, completing, and deleting tasks through conversational input. The server supports smart search, flexible filtering, and rich task attribute handling, aiming to streamline task management with intuitive error feedback.

• ⭐ 323
• MCP
• abhiz123/todoist-mcp-server

Slite MCP Server implements the Model Context Protocol to interface with Slite's API, enabling seamless search, retrieval, and hierarchical browsing of workspace notes. It exposes standardized tools for searching notes, retrieving content by ID, and navigating note structures, making Slite content programmatically accessible to contextual AI pipelines. Built in Node.js and TypeScript, it is configurable and supports authentication via API key.

• ⭐ 0
• MCP
• fajarmf/slite-mcp

Ebook-MCP acts as a Model Context Protocol (MCP) server enabling seamless interaction between large language model (LLM) applications and electronic books such as EPUB and PDF. It standardizes APIs for AI-powered reading, searching, and managing digital libraries. Through natural language interfaces, it provides smart library management, content navigation, and interactive learning within digital books. Ebook-MCP integrates with modern AI-powered IDEs and supports multi-format digital book processing.

• ⭐ 132
• MCP
• onebirdrocks/ebook-mcp

Apple Books MCP is a server implementation of the Model Context Protocol (MCP) that enables AI assistants to access, organize, and interact with Apple Books data such as collections, books, highlights, notes, and annotations. It provides standardized tools for retrieving and searching book-related data, supporting integration with platforms like Claude Desktop. Designed for easy setup with Python or uv, it facilitates context-aware AI capabilities for reading and annotation workflows.

• ⭐ 33
• MCP
• vgnshiyer/apple-books-mcp