Browse all content tagged with MCP
The Trade Agent MCP Server empowers AI agents to interact with leading stock and crypto brokerages via natural-language commands. Execute trades, manage portfolios, and access real-time market data securely through a single, MCP-compatible endpoint.
The tsuki_mcp_filesystem_server is a streamlined MCP server that enables secure search and listing of local filesystem files, providing AI agents with efficient file discovery and management capabilities by exposing the filesystem via the Model Context Protocol.
The Unity Catalog MCP Server enables AI assistants and developers to programmatically manage, discover, and manipulate Unity Catalog functions via the Model Context Protocol (MCP). Automate data catalog workflows, streamline function management, and facilitate secure, token-based interactions for modern data engineering and analytics.
The Whale Tracker MCP Server integrates the Whale Alert API with AI workflows, enabling real-time tracking and analysis of large cryptocurrency transactions (whale movements) within FlowHunt and other MCP-compatible environments.
The YugabyteDB MCP Server bridges AI assistants and YugabyteDB databases, enabling secure, read-only data exploration and schema analysis through standardized Model Context Protocol (MCP) interfaces. Ideal for developers seeking simple, safe, and powerful AI-driven database access.
The Tripadvisor MCP Server connects AI assistants with the Tripadvisor Content API, providing standardized tools for accessing rich travel data including locations, reviews, photos, and more. Empower your AI agents with seamless travel discovery and trip planning capabilities.
The Browserbase MCP Server enables AI agents and LLMs to control and automate cloud browsers, perform data extraction, capture screenshots, monitor console logs, and interact with web pages securely—unlocking powerful browser automation for AI workflows in FlowHunt.
Agentic AI is redefining workflow automation with the Model Context Protocol (MCP), enabling scalable, dynamic integration of AI agents with diverse resources. Learn how MCP standardizes context and tool access for powerful agentic AI applications.
Discover how Model Context Protocol (MCP) enables secure filesystem operations for AI assistants and development tools. This comprehensive guide explains MCP's sandboxed approach, walks through practical examples with Claude, and provides best practices for implementation. Learn how to safely integrate file reading, writing, and directory operations while maintaining strict security boundaries—perfect for developers working with AI systems or creating secure applications.
