Model Context Protocol
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Node.js server implementing Model Context Protocol (MCP) for filesystem operations.
An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.
A Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets. Enables Large Language Models (LLMs) to safely query and analyze data through a standardized interface.
A Model Context Protocol (MCP) server that provides programmatic access to the Supabase Management API. This server allows AI models and other clients to manage Supabase projects and organizations through a standardized interface.
A Model Context Protocol server for converting almost anything to Markdown
A middleware server that enables multiple isolated instances of the same MCP servers to coexist independently with unique namespaces and configurations.
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MCP server that interacts with Obsidian via the Obsidian rest API community plugin
A middleware server that enables multiple isolated instances of the same MCP servers to coexist independently with unique namespaces and configurations.
A Model Context Protocol (MCP) server implementation that provides access to various storage services via Apache OpenDAL™.
MCP web research server (give Claude real-time info from the web)
A Model Context Protocol (MCP) server for managing Netskope Network Private Access (NPA) infrastructure through Large Language Models (LLMs).
A Model Context Protocol (MCP) server for Rember. Allow Claude to create flashcards for you with the official Model Context Protocol (MCP) for Rember. Rember helps you study and remember anything you care about by scheduling spaced repetition reviews.
an mcp server for vikingdb store and search
Understanding Model Context Protocol (MCP)
Model Context Protocol (MCP) is a groundbreaking open-source protocol developed by Anthropic that revolutionizes how AI systems interact with external data sources. As the foundation for next-generation AI interactions, MCP enables AI assistants like Claude to establish secure and standardized connections with various data sources and tools.
Key Features of MCP
- Universal Standard: Provides a unified framework for AI systems to access external data, tools, and prompts
- Client-Server Architecture: Implements a robust and scalable architecture for seamless AI interactions
- Security-First Design: Ensures secure data transmission and access control between AI systems and data sources
- Tool Integration: Enables AI assistants to interact with various external tools and services
- Standardized Communication: Establishes consistent protocols for data exchange and interaction patterns
Benefits for AI Development
MCP represents a significant advancement in AI infrastructure, offering developers and organizations a standardized way to build and deploy AI applications. By providing a common protocol, MCP reduces implementation complexity and ensures compatibility across different AI systems and data sources.
Whether you're developing AI applications, managing data infrastructure, or implementing AI solutions, MCP provides the foundation for secure, efficient, and standardized AI interactions. Explore our directory to find MCP servers that match your specific needs and requirements.