What is an MCP server in plain words
An AI in a chat can advise but cannot act: it will not answer your customers or update your bot. MCP is the standard that gives the AI hands. No jargon: what an MCP server is, how it works, why it is different from handing the bot an API key, and how to connect the first one.
In short. An MCP server is a set of tools an AI assistant can call on its own: "read the new conversations", "create a bot", "generate a picture". MCP (Model Context Protocol) is the open protocol Claude, ChatGPT, Cursor and Claude Code use to connect to such servers: you add the server address in the client settings, confirm access, and then write tasks in plain language while the AI decides which tool to call. The server lives on the service side; the AI never receives the keys to your accounts.
An analogy: a socket and appliances
Before MCP every service had to be wired to every AI separately, as if each appliance had its own plug shape. MCP is a common socket: a service describes its tools once by the standard, and any AI client with MCP support can use them. That is why the same BotB2B server address works in Claude, ChatGPT and Cursor: the connection differs, the tools do not.
How it works
- 1
You add the server address to the AI client
In the settings of Claude, ChatGPT or Cursor there is a field for an MCP connector. The address looks like
https://api.botb2b.ai/api/mcp/front-desk. - 2
You confirm access
A service window opens (OAuth): you sign in and choose which accounts the AI may see. Passwords and keys are not passed to the client; it gets temporary access to the tools, which you can revoke.
- 3
The AI learns the tool list
The server returns a description: which tools exist, what they do, what parameters they take. The AI reads it like a manual.
- 4
You write the task in words
"Find conversations where the bot asked for help and summarise them." The AI picks the tools, calls them one by one and shows the result. You see every action.
How MCP differs from an API key and a plugin
| Give the AI an API key | Plugin / extension | MCP server | |
|---|---|---|---|
| What the AI gets | Full access to the account | Whatever the plugin author built in | Only the described tools for the accounts you picked |
| Where the keys live | In the chat or the client settings | With the plugin author | On the service side, the AI does not see them |
| Revoking access | Only by reissuing the key | Delete the plugin | One click, keys stay the same |
| Works in different AIs | Yes, but the key goes to each of them | Usually one | Yes, one address for all clients |
| Protection from flooding the account with requests | None | Depends | Rate limiter on the server side |
Which AIs support MCP
- Claude (claude.ai and the apps): the Connectors section in settings
- ChatGPT: the Connectors section; custom servers need developer mode
- Cursor: the
~/.cursor/mcp.jsonfile or the MCP settings - Claude Code: the
claude mcp addcommand - Any other client with MCP over HTTP: the standard is open
Where to get MCP servers
There are open-source servers on GitHub that you install on your computer or hosting and feed with your own keys, and there are ready servers from services, like the BotB2B MCP catalog: the front-desk assistant for customers and image generation. The difference is who holds the keys and who is responsible when a platform changes its API. How to connect: How to connect MCP.
MCP and the AI manager: the difference
An MCP server is handy when you work by hand in your AI: open a chat, set a task, get the result. But a chat does not work at night on its own. On top of the same tools the platform runs the AI manager, which executes tasks on a schedule without an open chat and reports in Telegram. Same tools, different way of working: MCP is you at the wheel; the AI manager is a task you hand over.
Frequently asked questions
What is MCP in plain words?
A standard by which an AI assistant connects to external services and gets tools: read data, reply to messages, trigger actions. Without MCP the AI only advises; with MCP it acts.
What is an MCP server?
A program on the service side that describes a set of tools by the MCP standard and executes them at the AI's request. You connect its address in your AI client.
Is an MCP server safe?
Safer than handing out an API key: the AI gets only the described tools for the accounts you picked, the keys stay on the service side, and access is revoked in one click. Check who owns the server and where it stores data.
Do I need a programmer to connect MCP?
For ready servers, no: an address in the client settings and a confirmation. A programmer is needed for open-source servers from GitHub that you host yourself.
How much does an MCP server cost?
Open-source ones are free plus your hosting and time. BotB2B servers are free to start; afterwards the number of servers depends on the plan, and the connection itself costs nothing extra.
How does MCP differ from a ChatGPT plugin?
A plugin works in one client and contains what its author built in. MCP is an open standard: one server works in every client, and the tool set is described transparently and visible to both the AI and you.
See also
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