A collection of 16 posts
Tools, prompts and resources form the three core capabilities of the MCP framework. Capabilities are essentially the features or functions that the server makes available. * Tools: Executable actions or functions that the AI (host/client) can invoke (often with side effects or external API calls). * Resources: Read-only data sources
At its heart, MCP follows a client-server architecture (much like the web or other network protocols). However, the terminology is tailored to the AI context. There are three main roles to understand: the Host, the Client, and the Server. Host The Host is the user-facing AI application, the
Without MCP, adding a new tool or integrating a new model was a headache. If you had three AI applications and three external tools, you might end up writing nine different integration modules (each AI x each tool) because there was no common standard. This doesn’t scale. Developers of
Imagine you only know English. To get info from a person who only knows: * French, you must learn French. * German, you must learn German. * And so on. In this setup, learning even 5 languages will be a nightmare for you. But what if you add a translator that understands all
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