What is MCP, and why does it matter for AI assistants?
By Harish P, founder of Plux Labs · Updated · 2 min read
Short answer
MCP (Model Context Protocol) is an open standard that lets AI assistants connect to other tools and data. Instead of you copying information into a chat, an assistant such as Claude, ChatGPT or Grok can use an MCP connection to read your CRM, search the web, query a database or draft a campaign, within the permissions you give it.
How MCP works
Think of MCP as a universal adapter. A tool publishes an MCP server that describes what it can do, such as "search contacts" or "create a draft". An AI assistant connects to that server, sees the available actions and uses them when they help with your request. Behind the scenes, the MCP server calls the tool's API.
What you can do with it
- •Ask an assistant to pull this week's leads from your database and summarise them
- •Research a prospect with live web data instead of what the model happens to remember
- •Draft outreach in your email tool for a person to approve
- •Turn meeting notes into tasks and CRM updates
Where it is supported
Anthropic introduced MCP in late 2024 and it is now widely supported. Claude, ChatGPT, Grok and coding agents such as Claude Code and Codex can connect to MCP servers, and many business tools, including Supabase, Apify, Firecrawl and Clay, publish their own.
Using MCP safely
An assistant connected to your tools can take real actions, so permissions matter. Give each connection the least access it needs, prefer read-only where you can, and keep a person approving anything that sends, deletes or spends money. It is the same human-checkpoint rule Plux Labs applies to every system.
Sources and further reading
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