Build and Scale AI on Powerful MCP Infrastructure

MCP is an open-source protocol that enables AI systems to securely connect with various data sources. It establishes a universal standard for AI assistants to access external data, tools, and prompts through a client-server architecture.

MCP Servers are systems that provide context, tools, and prompts to AI clients. They expose data sources like files, documents, databases, and API integrations, allowing AI assistants to access real-time information in a secure way.

MCP Servers work through a simple client-server architecture. They expose data and tools through a standardized protocol, maintaining secure 1:1 connections with clients inside host applications like AI assistants.

MCP Servers can share resources (files, docs, data), expose tools (API integrations, actions), and provide prompts (templated interactions). They control their own resources and maintain clear system boundaries for security.

AI assistants connect to MCP servers to access external data sources and tools, enhancing their capabilities with real-time information. Currently, this works with local MCP servers, with enterprise remote server support coming soon.

Yes, security is built into the MCP protocol. Servers control their own resources, there's no need to share API keys with LLM providers, and the system maintains clear boundaries. Each server manages its own authentication and access control.

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