What MCP Is In Plain Words, And Which One To Connect First

MCP stands for Model Context Protocol, an open standard Anthropic released on November 25, 2024, that lets an AI assistant connect to your actual files and calendars instead of only answering questions in a chat box. It is the plumbing that turns an AI from something you talk to into something that can act for you.

What does MCP stand for?

MCP stands for Model Context Protocol. Anthropic open-sourced it on November 25, 2024, describing it as a universal port for AI, the way USB-C replaced a drawer of mismatched cables. Before MCP, an AI tool needed its own custom-built connection to every app it touched. A team wiring an assistant into Slack and Google Drive had to write and maintain two separate integrations, and every new AI model meant redoing that integration work. MCP replaces this with one shared language. A \”server\” is a small program that speaks MCP for one tool, like Google Calendar or GitHub. A \”host\” is the AI app you use, like Claude Desktop or ChatGPT’s desktop app. Connect a host to a server once, and the assistant can read and act inside that tool without anyone writing custom code for it. The full specification and reference servers are public on GitHub.

How is this different from a chatbot?

A chatbot only sees what you type into it. An MCP-connected assistant sees, and can act inside, the tools you have given it access to. Ask a chatbot to check tomorrow’s meetings and it cannot, because it has no calendar. Ask an MCP-connected assistant the same question and it opens the calendar server, reads the events and answers with what is on your schedule. The same applies to sending a file or updating a spreadsheet. This is the change I covered when writing about tool use and computer use for AI systems: a model doing something inside a live system, not just describing what it would do. MCP is the standard way that connection gets built now, instead of every company inventing its own.

Who else uses MCP now?

MCP is not a Claude-only feature anymore. OpenAI added MCP support to its Agents SDK on March 26, 2025, and extended it soon after to the ChatGPT desktop app and Responses API, with CEO Sam Altman posting that \”people love MCP and we are excited to add support across our products\”, a move TechCrunch described as OpenAI adopting a rival’s standard. Google DeepMind followed on April 9, 2025, when CEO Demis Hassabis said MCP was becoming an open standard for the agentic era and confirmed Gemini support, also reported by TechCrunch. There is a practical reason to care: a connector you set up once now works across more than one AI assistant, instead of locking you into a single vendor. I wrote more about what that means for your job in this piece on Opus 5, MCP and Monday.com’s layoffs.

Which MCP should you connect first?

Start with something read-only and low-stakes, like Google Calendar or Google Drive, connected through Claude’s own Connectors directory. Open Settings, then Connectors, search for the tool and click Connect. You sign in with your Google account and approve the specific permissions the connector requests, and Anthropic’s connector documentation walks through the exact screens. Once it is connected, try a concrete request: \”Find my Q3 budget spreadsheet in Google Drive and summarize the two biggest cost changes.\” A chatbot without that connection can only guess. A connected assistant opens the file and answers from what it contains. Calendar and Drive are good first choices because they are read-heavy and low-risk, and still useful for daily work like finding a document, checking a schedule, summarizing a meeting and prepping for a call.

Four MCP checks, ranked by risk

Not every connector deserves the same trust. These four checks are ranked by how much damage skipping each one can cause, so work through them in order before approving anything new.

1. Does it only read, or can it write and delete? A read-only connector that misfires wastes your time. A write-capable one that gets tricked can act on your behalf without you noticing. Prompt injection, where hidden instructions inside a document hijack an assistant’s next action, is ranked the top risk in OWASP’s 2025 Top 10 for LLM Applications, and it only causes damage when the connector can take action, not just read.
2. Is it verified or a community submission? Anthropic reviews some listings in its directory for security and reliability and leaves others as unreviewed community submissions, according to its own connectors directory FAQ. Check which one you are installing before you approve it.
3. Is it scoped to one account, or your whole workspace? Security researcher Simon Willison documented in April 2025 how broad connector access turns one poisoned document into a wider leak. Researchers at Invariant Labs found a version of this flaw in GitHub’s own MCP server in May 2025: a public issue could trick an assistant into leaking private repository data, a bug tracked publicly in GitHub’s issue tracker.
4. Will you still use it in a month? The Cloud Security Alliance’s MCP guidance recommends reviewing and revoking connections on a schedule, rather than leaving them live indefinitely. An unused connector is one nobody is watching.

Is MCP safe enough for work?

Yes, for read-only, well-scoped connectors, and with more caution for anything that writes or deletes. The risk lives in what happens when an assistant reads untrusted content, like an email or a public support ticket, that carries hidden instructions. Palo Alto Networks’ Unit 42 documented new prompt injection paths through MCP’s sampling feature in 2025, reinforcing prompt injection’s place as one of the most cited AI application risks in the field. The practical fix looks like managing a new employee’s access: grant the least permission needed, and review it on a schedule. Keep write-capable tools separate from the ones you use only for reading and search. If you need to explain this setup to a manager who is skeptical of AI tools touching company data, I wrote about how to make that case in plain terms without overselling what the tool can do.

You are a careful technical explainer helping me understand a new AI tool connection before I approve it. I am about to connect [name the tool, e.g. Google Drive] to my AI assistant through MCP. Based on the permission screen I paste below, list exactly what data the connector can read, whether it can write or delete anything, and what the worst case looks like if the connection is misused. If the permission screen I give you does not name a scope clearly, ask me to check for it before you answer. Keep the answer under 150 words and avoid jargon.\n\n[paste the permissions screen text here]

You are a plain-spoken writing assistant helping me tell my manager about a new AI tool connection I set up at work. Here is what I need in the message: the name of the tool I connected, whether it is read-only or can write, why I connected it, and one sentence on how I am limiting the risk. Write two or three short sentences a busy manager can read in ten seconds, with no jargon and no promises about accuracy. Ask me for any missing detail before you write it.\n\nTool: [name]\nWhat it can access: [read-only / can write]\nWhy I connected it: [task]

You are a skeptical reviewer helping me decide which AI tool connections to keep active. I will paste a list of connectors I have approved, roughly when I connected each one, and what I use it for. Flag any connector I have not mentioned using in the past month, and separately flag any with write or delete access, since those deserve review first. For each flagged item, ask me a specific question to help me decide whether to keep or revoke it, rather than deciding for me.\n\n[paste your connector list here: name, date connected, what you use it for]

Act as a blunt hiring manager who has read ten thousand resumes, not a career coach. I will paste my full resume and the job description I want. Rewrite the whole resume for that role, section by section, in this order: summary, experience, skills, education. Rules: every experience line leads with impact, not duty. Use bracketed placeholders like [8 percent] for any number I did not give you, and list at the end every placeholder I need to replace with a real figure. Keep it to one page of text. Plain formatting only, no tables or columns, so screening software can parse it. After the rewrite, tell me the three weakest claims that need evidence before I send this anywhere. My resume: [paste resume]. The role: [paste job description].