What Is MCP? A Developer's Guide to the Model Context Protocol
The Model Context Protocol (MCP) is an open protocol that lets AI coding tools access external data sources and tools through a standardised interface. Instead of building a separate integration for every AI tool, you build one MCP server and every MCP-compatible tool can use it.
For developers using AI tools in their workflow, MCP is the missing standard that makes tool integration predictable.
What MCP is
MCP defines a communication standard between AI assistants (clients) and the tools and data sources they need to access (servers).
Before MCP: if you wanted Claude Code to access your database, Cursor to access your docs, and another AI tool to access your analytics, you needed three separate custom integrations.
After MCP: one MCP server exposes your data. Any MCP-compatible client can connect to it.
The protocol covers:
- How clients discover what capabilities a server offers
- How clients call tools and read resources
- How servers respond with structured data
It is a JSON-RPC-based protocol running over stdio or HTTP.
How it works
An MCP server exposes typed tools — functions the AI can call. For analytics, that looks like get_stats, get_top_pages, compare_periods, or generate_report.
When you ask your AI tool "how many visitors did my site get yesterday?", the AI:
- Identifies that your MCP server has a stats tool
- Calls the tool with appropriate parameters
- Receives structured numbers
- Incorporates those numbers into its response — not guesswork
Which tools support MCP
MCP is supported and growing. Check the current documentation for each tool to confirm support:
- Claude Desktop / Claude Code — MCP server support
- Cursor — MCP server configuration
- Cline — MCP integration
- Windsurf — MCP support
- Zed — MCP support
For the current list of supported clients, see the MCP documentation.
Antlytics MCP — live today
Antlytics ships a hosted MCP server at https://www.antlytics.com/mcp. Authentication uses OAuth 2.1 — no API keys to paste into config files.
Connect once, then ask Cursor or Claude to:
- Create a site and get the correct install snippet for your framework
- Check whether events are arriving after install
- Create goals and funnels
- Query visitors, referrers, UTMs, countries, and devices
- Compare two periods when traffic moves
- Generate a markdown, CSV, or JSON report
Full tool reference and client config: MCP docs. For the broader workflow (CLI + rules files), see AI coding tools and Ask Cursor why traffic moved.
Why analytics + MCP makes sense
Your analytics data is useful in context. When you are writing code that changes a feature, it is useful to know how many people use that feature. When you are deciding what to build next, it is useful to know which pages get the most traffic.
With Antlytics MCP you can ask:
- "Which pages on my site have the highest traffic this month?"
- "What are the top referrers for my blog?"
- "Why did traffic drop last week?"
…and get answers with the numbers attached — without leaving your editor or opening a dashboard for every question.
FAQ
Do I need to be a developer to use MCP? You need to configure MCP settings in your AI tool. It is a developer feature, not a no-code product.
Is MCP a standard or a product? It is an open protocol maintained by Anthropic and the community. Multiple companies ship MCP servers for their products.
Does Antlytics have an MCP server? Yes. Connect at https://www.antlytics.com/mcp. See the MCP docs for setup and the full tool list. Paid plans (including the trial) are required for MCP access.
Can I build my own MCP server for Antlytics? Yes. The REST API is documented at /docs/api-reference. You can wrap it in a custom MCP server if you need a private surface — most teams use the official server.
Related: Analytics for AI coding tools · Ask Cursor why traffic moved · MCP docs