What is MCP (Model Context Protocol)?
Model Context Protocol (MCP) is an open standard that lets AI tools connect directly to external apps and data sources. Built by Anthropic and released as open source, it gives AI assistants like Claude or ChatGPT a way to read your data, call your tools, and take actions on your behalf, all through a single standardized interface.
Without MCP, every AI integration needs custom code. With MCP, one connection works across any compatible AI tool.
How MCP Works
MCP uses a client-server model. Your AI tool (the client) connects to MCP servers, which are lightweight wrappers around existing services. Each server exposes specific capabilities: reading data, calling functions, or accessing resources.
The analogy: APIs are like proprietary chargers where each device needs its own cable. MCP is USB-C. One standard plug, any device.
When you ask Claude to "check my Meta Ads performance this week," MCP handles the entire chain: authenticating with Meta, pulling the data, and returning it in a format the AI understands. No switching tabs, no exporting CSVs, no copy-pasting between tools.
MCP vs API
APIs still power everything under the hood. MCP doesn't replace them. It standardizes how AI tools interact with them.
The key difference: an API is a custom integration between two specific systems. Building a Meta Ads integration for Claude is different from building one for ChatGPT. With MCP, you build one server that works with any compatible AI client.
For advertisers, this means you're not locked into one AI tool. A Meta Ads MCP server works with Claude today and any future AI tool that adopts the protocol.
What MCP Means for Advertising
This is where it gets practical. MCP lets you manage ad campaigns through conversation instead of clicking through platform UIs.
Real examples that work today:
- Pull campaign performance data across Meta, Google, and LinkedIn in one question
- Create and modify ad sets without opening Ads Manager
- Get AI-generated analysis of your creative performance with full account context
- Monitor ROAS across platforms from a single interface
AdKit's Ads MCP let you manage Meta and Google Ads campaigns directly from Claude or ChatGPT, no platform UI required.
Who Uses MCP Today
On the AI side: Claude (Desktop, Code, and API), ChatGPT, Cursor, Windsurf, and most major AI coding tools.
On the platform side: Meta, Stripe, Cloudflare, GitHub, and hundreds of open-source community servers covering everything from databases to email to analytics.
The ecosystem is growing fast. If a service has an API, someone has probably built an MCP server for it.
Frequently Asked Questions
An API is a custom connection between two specific systems. MCP is a standard protocol that lets any AI tool talk to any compatible service without custom code. Think of APIs like proprietary chargers (each device needs its own), and MCP like USB-C (one standard plug works with everything).
RAG (Retrieval-Augmented Generation) feeds documents to an AI so it can answer questions about them. MCP goes further by letting the AI actually do things, pull live data, trigger actions, interact with tools in real time. RAG is read-only context. MCP is a live connection.
Not anymore. Tools like Claude Desktop, Cursor, and Windsurf let non-technical users connect MCP servers through simple config files. You still need a basic setup step, but you don't need to write code. Many MCP servers are open source with one-click install instructions.
As of 2026, Claude (Desktop, Code, and API), ChatGPT, Cursor, Windsurf, and several other AI coding tools support MCP. On the platform side, Meta, Stripe, Cloudflare, and dozens of open-source projects publish MCP servers that any compatible AI tool can connect to.