What is a remote MCP server?

In the rapidly evolving field of AI, the Model Context Protocol (MCP), introduced by Anthropic, serves as an open standard to connect AI applications with external tools and data, using either local or remote servers to facilitate these interactions. Local MCP servers run on individual machines, offering direct access to local resources, while remote, or hosted, MCP servers extend capabilities to cloud-based environments, enabling AI agents to interact with systems like CircleCI without local installations. The protocol's key feature is its decoupling of the client and server, allowing any MCP client to connect with any MCP server seamlessly, much like a web browser accessing any website. Remote MCP servers, which operate over Streamable HTTP and utilize OAuth 2.1 for centralized authentication, provide scalable, team-wide access to shared systems, making them suitable for environments where AI tools require consistent access to real-time data across various platforms. Through this setup, AI applications can autonomously perform tasks such as retrieving and analyzing pipeline data from CircleCI, enhancing workflow efficiency and troubleshooting capabilities without the need for manual input.

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