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    MCP

    The protocol that lets AI do work instead of describing it.

    What does the MCP category cover?

    What MCP (Model Context Protocol) is, how it differs from an API, and why it is the difference between AI that talks and AI that acts.

    Pages in MCP

    What Is MCP (Model Context Protocol)?

    MCP is an open protocol that lets an AI model discover and call the tools of a software system — the difference between AI that talks and AI that acts.

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    MCP vs API — What's Actually Different

    APIs are built for developers who already know what to call. MCP is built for AI that has to discover what is possible and then act within rules.

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    Why APIs Return Data but MCP Executes Tasks

    An API answers a precise question. MCP accepts an intent, chooses the operations, and carries a multi-step task to completion.

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    Can AI Work Without MCP?

    Yes — AI can answer, summarize and draft without MCP. What it cannot do without tool execution is finish work inside your business system.

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    MCP Security

    MCP security is about identity, scope, confirmation and audit. What must be true before an AI agent is allowed to write to your business data.

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    MCP Servers Explained

    An MCP server exposes a set of typed, permissioned tools that an AI client can discover and call. Here is what it contains and how a call flows.

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    Building MCP Tools

    Good MCP tools map to complete business actions, validate their inputs, fail loudly and stay idempotent. The design rules that separate usable tools from demos.

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    How AI Discovers MCP Capabilities

    AI does not need to be trained on your software. It reads the tool catalog at connection time and selects actions from descriptions and schemas.

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    MCP for Field Service Software

    What MCP changes for contractors and field service businesses: an AI that can book, convert, invoice and follow up inside the real system of record.

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