All MCPs

The Model Context Protocol (MCP) is an open standard created by Anthropic that provides a universal way for AI agents and applications to connect with external data sources, tools, and services. It acts as a standardized bridge between LLMs and the outside world.

Without MCP, every agent-tool integration requires custom code. MCP provides a consistent interface so that any MCP-compatible agent can work with any MCP server — similar to how USB standardized device connections. This dramatically reduces integration effort and increases interoperability.

Most MCP servers are distributed as npm packages. You can install them using npm or npx, then configure your AI agent (such as Claude Desktop, Cursor, or VS Code) to connect to the server. Each MCP listing on Agent Hub includes installation instructions and configuration details.

Yes. MCP is an open specification with SDKs available in TypeScript, Python, and other languages. You can build custom MCP servers to expose your own APIs, databases, or internal tools to any MCP-compatible AI agent.

An MCP server wraps functionality (often backed by APIs) in a standardized protocol that AI agents understand natively. While a traditional API requires custom integration code, an MCP server can be discovered and used by any compatible agent automatically, with built-in support for tool descriptions, parameter schemas, and streaming.