One search. Connected ideas.

REST is an HTTP API design style for application services. Function calling is a model interaction mechanism for proposing structured operations. MCP standardizes integration discovery and invocation/context exchange; a plugin is a packaging/integration…

MCP is a protocol for connecting AI applications to external tools and context. The host is the application using the model; a client is its protocol connection to a server; a server exposes supported capabilities. The model normally proposes operations,…

Beginner — What problem does MCP solve?

This example defines server-side contracts and dispatch logic, not a particular MCP SDK's registration syntax. Attach this registry to the selected SDK's authenticated request handlers, implement capability discovery, and encode its documented result…

Requirements: Expose reviewed customer lookup, order/policy lookup, ticket creation, and knowledge search to an approved host.

Use narrow tools for fresh data and actions. MCP is useful when approved hosts need a shared discoverable integration, not merely because the model has one function call. Keep the existing business API behind either a direct wrapper or the MCP facade.

Resources expose readable context through identified locations, such as policy documents. Prompts expose reusable task templates and arguments. Tools perform operations; resources provide content; prompts help compose a task.

A tool is a named executable capability with argument metadata and a schema. Discovery lets a client obtain the server's available tool descriptions. A tool description helps the model choose a capability; it is not proof that the server or tool is…

Authentication establishes who a client/user is; authorization determines what that identity may do. MCP connection authorization and downstream business authorization are separate concerns. A valid connection does not automatically permit every customer's…

LangGraph essentials: nodes return state updates; reducers define merge behavior; edges control next steps; model routes need validation; production needs durable checkpoint storage and authorized threads. An interrupted node can restart, so pre-pause side…

AI and LLM fundamentals

Tool poisoning uses malicious tool definitions or descriptions to influence model behavior. Excessive agency gives the AI more permissions or autonomy than its task needs. A harmless-looking tool name can conceal a sensitive operation or destination.

REST is an HTTP API design style for application services. Function calling is a model interaction mechanism for proposing structured operations. MCP standardizes integration discovery and invocation/context exchange; a plugin is a packaging/integration…

MCP is a protocol for connecting AI applications to external tools and context. The host is the application using the model; a client is its protocol connection to a server; a server exposes supported capabilities. The model normally proposes operations,…

Authentication establishes who a client/user is; authorization determines what that identity may do. MCP connection authorization and downstream business authorization are separate concerns. A valid connection does not automatically permit every customer's…

Beginner — What problem does MCP solve?

Function calling lets a model propose a structured operation. MCP provides an integration protocol for discovering/invoking capabilities. The host can turn a model proposal into an MCP request that calls an existing REST service underneath.

This example defines server-side contracts and dispatch logic, not a particular MCP SDK's registration syntax. Attach this registry to the selected SDK's authenticated request handlers, implement capability discovery, and encode its documented result…

Resources expose readable context through identified locations, such as policy documents. Prompts expose reusable task templates and arguments. Tools perform operations; resources provide content; prompts help compose a task.

Requirements: Expose reviewed customer lookup, order/policy lookup, ticket creation, and knowledge search to an approved host.

Use narrow tools for fresh data and actions. MCP is useful when approved hosts need a shared discoverable integration, not merely because the model has one function call. Keep the existing business API behind either a direct wrapper or the MCP facade.

A tool is a named executable capability with argument metadata and a schema. Discovery lets a client obtain the server's available tool descriptions. A tool description helps the model choose a capability; it is not proof that the server or tool is…

LangGraph essentials: nodes return state updates; reducers define merge behavior; edges control next steps; model routes need validation; production needs durable checkpoint storage and authorized threads. An interrupted node can restart, so pre-pause side…

It standardizes how AI applications connect to and discover external tools and context. Multiple approved hosts can reuse the same server-side capability contracts rather than each building a custom integration.

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module