AI Explained

What Is MCP? The Model Context Protocol, Explained

MCP is the open standard that lets AI assistants like Claude and ChatGPT connect to the software your business runs on. Here is what it is, how it works, and what it means for your sales and calling data, in plain English.

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✓ Plain-English explainer✓ MCP vs API compared✓ 5 questions to ask before you connect

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Open
standard
Any AI app or software company can build on it. No single vendor owns it
Claude
+ ChatGPT
Supported by the AI assistants your team already uses
Live
answers
The assistant reads your real systems instead of guessing
No code
to use
Once a server is connected, you just ask in plain language
The Short Answer

What Is MCP?

MCP, the Model Context Protocol, is an open standard that lets AI assistants such as Claude and ChatGPT connect to outside software, data and tools. The official documentation compares it to a USB-C port for AI applications: one standard way to plug an assistant into the systems a business already runs.

01

An open standard

MCP is not a product. It is a shared set of rules any AI application and any software company can build on, the way USB-C is a shared plug.

02

A bridge to real data

Without it, an assistant only knows what it was trained on or what you paste in. With it, the assistant can look up live information in the systems you use.

03

Ask, don’t export

For a business user, MCP means you can ask your assistant a question about your own data and get the answer in the chat, instead of logging in and exporting a report.

How It Works

The Three Parts Of An MCP Connection

The MCP architecture describes three roles. You ask, the host passes the request through a client, and the server answers from the system it connects to.

01

Host

The AI application you talk to, such as Claude or ChatGPT. It is the only part you actually see.

02

Client

A component inside the host that keeps one connection open to one server and passes your requests along.

03

Server

The program a software company builds to expose its data and actions, such as your calling platform or CRM.

What A Server Offers

Tools, Resources And Prompts

According to the protocol documentation, a server can expose three kinds of things. Not every server uses all three.

01

Tools

Actions an assistant can run, such as adding a contact or sending a list into a campaign. Good servers limit tools to what your account allows.

02

Resources

Data the assistant can read for context, such as call outcomes, summaries and transcripts.

03

Prompts

Reusable templates that help structure a request, such as a standard daily check on yesterday’s campaigns.

Where It Came From

A Short History Of MCP

1

The problem: isolated assistants

Even strong AI models could not see the data held inside business systems. Every connection had to be custom-built, one assistant and one tool at a time.

2

November 2024: Anthropic opens the standard

Anthropic introduced the Model Context Protocol as an open standard for connecting AI tools to data sources, with open documentation and reference servers.

3

2025: the industry adopts it

OpenAI, Google and Microsoft backed MCP, and it quickly became the way AI tools reach real business data instead of guessing.

4

Today: software companies ship servers

Companies now publish MCP servers so customers can use their product from inside an assistant. Most sales software still has not built one.

MCP vs API

How MCP Differs From A Regular Integration

MCP does not replace APIs. Many MCP servers call the company’s API behind the scenes. MCP is the common language that lets assistants use it.

What mattersMCPA custom API integration
Who it is forAI assistants and the people using themDevelopers wiring two systems together
How you use itAsk a question in plain languageWrite code against each endpoint
ReuseOne server works with every MCP-compatible assistantEach pairing is built and maintained separately
Typical jobLook something up or take a quick action mid-conversationMove data between systems on a schedule or trigger
Bigly Sales AI calling dashboard
For Sales Teams

What MCP Means For Your Calling Data

Answers without another login

A sales manager can type “who picked up today and wants a demo?” and get the list without opening a dashboard.

Follow-ups that do not slip

Ask for everyone who requested a callback this week and hand the list to your reps.

Bigly Sales has one

The Bigly Sales MCP server brings call outcomes, transcripts, interested leads and campaign pacing into Claude, ChatGPT and other MCP-compatible assistants.

Before You Connect

Five Questions To Ask Any MCP Server

The official MCP documentation includes security best practices worth reading before you connect anything.

1

Whose permissions does it use?

The safest servers work through your existing account, so the assistant sees only what that account may see.

2

What can it change?

Know which actions are read-only and which can add, update or launch something.

3

Who on your team can connect it?

Decide who gets access before anyone links an assistant.

4

Does it keep your rules in place?

For calling data, consent and do-not-call rules should be enforced by the platform no matter who starts the work.

5

How will you check the numbers?

Treat an assistant’s answer like a colleague’s: verify any figure you plan to act on against the source.

FAQ

MCP questions answered

What does MCP stand for?

MCP stands for Model Context Protocol. It is an open standard that lets AI applications such as Claude and ChatGPT connect to outside software, data and tools.

Who created MCP?

Anthropic introduced the Model Context Protocol on November 25, 2024, and released it as an open standard. OpenAI, Google and Microsoft have since added support, which is why it has become the common way AI assistants reach business data. See Anthropic’s announcement.

What is an MCP server?

An MCP server is a program that exposes one system’s data and actions to AI assistants through the Model Context Protocol. A company builds one server and every MCP-compatible assistant can use it.

What is the difference between MCP and an API?

An API is a company’s own interface, and every tool has to be custom-wired to it. MCP is one shared standard that sits on top, so an assistant that speaks MCP can use any MCP server without custom code for each one. Many MCP servers call the company’s API behind the scenes.

Is MCP safe to use with business data?

It can be, if the server and the connection are set up well. Look for a server that works through your own account permissions, decide who on your team may connect an assistant and what it may change, and check any figure you plan to act on.

Do I need to be technical to use MCP?

No. Once a server is connected, you simply ask your assistant questions in plain language. The protocol does its work in the background.

Does Bigly Sales have an MCP server?

Yes. The Bigly Sales MCP server is available to all Bigly Sales customers. It lets Claude, ChatGPT and other MCP-compatible assistants pull call outcomes, transcripts, follow-up lists and campaign pacing from your Bigly account.

Where is the official MCP documentation?

The protocol is documented at modelcontextprotocol.io, including the architecture overview and security best practices.

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