Claude MCP: How the Model Context Protocol Works
Blog post from TestMu AI
Claude MCP refers to Claude’s implementation of the open, model-neutral Model Context Protocol, introduced by Anthropic in November 2024 to standardize how AI applications connect with external tools, files, data, and systems. MCP uses a host-client-server architecture in which AI clients communicate with servers through JSON-RPC over local stdio or remote Streamable HTTP connections, allowing servers to expose model-invoked tools, application-provided resources, and user-triggered prompts. By replacing bespoke integrations between every AI client and tool with a shared protocol, MCP aims to improve interoperability, enable access to current data and real actions, and reduce vendor lock-in while continuing to coexist with traditional APIs. Users can connect prebuilt servers for services such as filesystems, GitHub, databases, collaboration platforms, and test automation, or build custom servers with official SDKs using clearly described tool schemas. The text emphasizes gradual adoption, starting with a small trusted server and a single practical task, while stressing security measures including vetted server sources, least-privilege credentials, scoped filesystem access, approval for consequential actions, and OAuth-based authentication for remote services.
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