Guide

AI agent vs MCP: what's the difference, and why your Bot needs connectors

Updated · by Rosh Perera

An agent is the worker; MCP is a plug standard it uses to reach your apps. The MCP docs call it "an open-source standard for connecting AI applications to external systems." (MCP docs: Introduction). In Grok Bot, connectors do this: "Connectors give a Bot a structured way to work with supported services." (xAI's Computer and apps docs).

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How do agents, connectors and MCP fit together?

  • Definitions

    MCP: "MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems." and "Think of MCP like a USB-C port for AI applications." (MCP docs: Introduction). Agent: software that pursues goals and completes tasks for you, using tools like these.

  • Agent, connector, MCP server, skill

    The agent is the Bot. A connector is how it reaches an app, and hosted connectors run as MCP calls. A skill is a saved way of doing a task. In short: the Bot follows a skill and uses a connector to talk to your app.

  • Where MCP shows up in Grok Bot

    xAI's Teams and Enterprises docs: "Tool I/O covers hosted connector calls only: MCP calls Cursor runs, such as Jira, Slack, and Linear." Connectors are installed from Connect apps, and "Installed connectors are account-wide." (xAI's Computer and apps docs).

  • Connector or the Bot's browser?

    Use a connector when one exists; xAI says it is often more reliable than clicking through a website. "Use the browser for services without a connector or for visual workflows a connector does not expose." (xAI's Computer and apps docs). Our connector checker shows what's available for your apps.

  • Safety: what a connector can do

    A connector acts in your account with the access you grant. Connect only what a workflow needs, and keep sending, deleting and changing permissions behind your approval (xAI's Approvals docs).

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4 copy-paste agent prompts, a business brief template and a 7-day plan, as a PDF. Plus this guide's templates.

Ready-made use cases

  1. 01Inbox triage with drafted replies
    The agent sorts your inbox into reply / FYI / ignore and drafts replies in your voice for you to approve.
    ~5h/week · estimate
  2. 02One daily list of drafts to approve
    Your bots hold every email, message and post they write as a draft. Once a day (or once a week) you get one numbered list and answer approve, edit or reject for each. Nothing goes out unapproved.
    ~1h/week · estimate

Example: Grok Bot setup

Grok Bot routine: Inbox triage with drafted replies
Schedule: Twice daily 9:00 and 15:00

Twice a day, go through new emails. Label each as Reply, FYI or Ignore. For Reply, write a draft in my voice (short, friendly, direct) and save it as a draft, never send. Send me a list of drafts to approve and any FYIs worth knowing.

Rules: draft first, never send or post anything external without my approval. Keep summaries short.

Grok Bot, ChatGPT, Claude and n8n versions: all templates

Email me this template + the Starter Kit

What to keep in mind

  • Connectors are account-wide, so every Bot on your account can use one you install.
  • Remove a connector and revoke it in the app itself when you no longer need it.

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Built by Rosh Perera, who runs 30+ one-job bots, and every one reports to one chief of staff bot.

FAQ

Is MCP an AI agent?

No. MCP is an open-source standard for connecting AI applications to external systems. An agent can use it to reach your apps.

Does Grok Bot use MCP?

Yes, for hosted connectors. xAI's docs describe hosted connector calls as MCP calls Cursor runs, such as Jira, Slack and Linear.

Do I need to know MCP to use Grok Bot?

No. You add connectors from Connect apps and sign in. MCP works underneath.

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