Model Context Protocol (MCP)

The Model Context Protocol (MCP) is an open standard that defines how AI applications connect to external systems such as databases, files, APIs and business tools. Its documentation compares it to a USB-C port for AI: build one connector, and any MCP-compatible assistant can use it. Anthropic introduced MCP in November 2024 and donated it to the Linux Foundation’s Agentic AI Foundation in December 2025.

How it works

MCP has three roles. The host is the AI application the user works in, such as Claude, ChatGPT, an IDE or an agent framework. Inside it, an MCP client manages the connection to an MCP server, a small program that exposes capabilities. Servers offer three main types of capability: tools the model can call (run a SERP query, create a ticket), resources it can read (files, records), and prompts (reusable templates). The model decides when to call a tool, the server does the work, and the result goes back into the conversation.

MCP builds on function calling. The difference is portability: a tool written once as an MCP server works across many hosts instead of being rewritten for each one.

How it’s used in SEO and marketing

• Querying SEO data conversationally: DataForSEO offers an MCP server that lets an assistant like Claude call its SERP API directly.
• Connecting crawlers and analytics: Screaming Frog added an SEO Spider MCP server in 2026, so assistants can work with crawl data.
• Building internal agents that read Search Console, a CMS or a keyword database without bespoke integrations for each.
• Exposing your own data to agents. MLforSEO’s Agentic SEO course describes MCP servers as one form of structured endpoint access, the highest-fidelity path an agent can use to read your entities, products and prices.

Example

You connect the DataForSEO MCP server to your AI assistant and ask which competitors appear in the top 10 for a set of keywords. The assistant calls the SERP tool, receives structured results and summarises them. MLforSEO’s advice: this is great for exploring, but for anything you report on, schedule a deterministic script so this month’s number means the same as last month’s.

Limitations and things to watch

• Security matters: an MCP server can act with your credentials. Install only trusted servers, scope API keys tightly and review what tools can write or delete.
• Tool output can contain instructions from untrusted content (prompt injection), so keep humans in the loop for actions.
• Conversational results are not reproducible in the way scheduled scripts are.
• The specification is versioned and still evolving. Check the official documentation for the current version before building.

Learn it on MLforSEO

• 10 Ways to Automate SERP Analysis with AI
• 10 Ways to Automate Internal Linking with AI
• AI Search Optimisation & Agentic SEO course, lesson on structured data for automated systems.