Search marketers have always needed fast access to competitive data. The Adthena MCP connector changes how that happens. Instead of switching tabs and logging into a separate dashboard, your AI agent can now query live Adthena data directly through conversation.
Adthena now supports MCP- the open standard that lets AI agents connect to external data sources. If you’re already working with an AI assistant, you can now give it direct access to your Adthena search intelligence. No separate login. No dashboard-switching. Just ask, and get answers grounded in your real market data.
You know how this usually goes.
You’re mid-workflow, building a report, prepping a deck, working through a campaign brief, and you need a quick competitive read. Who’s bidding on this term? How’s our share trending? What are competitors doing in AI Overviews right now?
So you switch tabs. Log into Adthena. Navigate to the right view. Pull the data. Switch back.
It works. But it interrupts.
That’s the gap we’ve now closed.
Adthena now supports the Model Context Protocol (MCP), an open standard that lets AI assistants and agents connect to external tools and pull live data from them. That means any MCP-compatible AI agent can now connect directly to your Adthena account and query your competitive intelligence through a conversation.
Ask a question. Get an answer. Keep going.
“What’s my market share trend over the last 30 days?”
“Which competitors are gaining share on my brand terms?”
“Are there search terms my rivals bid on that I’m missing?”
Your AI Agent calls Adthena’s data directly, reasons over it, and comes back with a real response, not a generic AI guess, but an answer grounded in your actual competitive landscape.
MCP stands for Model Context Protocol. It’s an open standard, originally developed by Anthropic, that’s rapidly becoming the way AI agents connect to external tools and data sources. Think of it as a universal plug. If your AI assistant supports MCP and a tool has an MCP server, they can talk to each other.
Adthena now has an MCP server. That means any AI agent that supports MCP can connect to it: ChatGPT, Claude, CoPilot, Gemini or any other MCP-compatible client you’re already using.
When you ask a competitive question, your agent doesn’t speculate, it calls the Adthena data, reads it, and responds. The same intelligence that lives in the platform is now accessible through a conversation, wherever you’re already working.
Setup requires a small amount of configuration, but it’s straightforward. You can access the full setup guide or here’s the short version.
For most MCP clients, you’ll add Adthena as a custom MCP server using the following:
Server URL: https://mcp.adthena.com/mcp
Transport: Streamable HTTP
Authentication: OAuth 2.0 — the server handles the flow automatically
The only prerequisite is an active Adthena subscription with API access enabled.
Once connected, the full breadth of Adthena’s competitive data is at your fingertips through conversation. A few things worth trying straight away:
Competitor landscape – “Who are my top 5 competitors by share of clicks this month?” – get a ranked view of who’s taking space in your market, without building a single report.
Search term gaps – “What terms are my competitors bidding on that I’m not?” – surface opportunities you might be leaving open, in seconds.
Market share movement – “How has my market share changed over the last 90 days?” – track your position over time without digging through dashboards.
Brand term coverage – “Which competitors are bidding on my brand terms right now?” – a question that used to require a specific workflow now takes a single prompt.
And because you’re working in an AI Agent, you can combine these with other tasks. Draft a competitive brief and pull the supporting data in the same conversation. Ask for the analysis and the summary in one go.
We built Adthena to give search marketers the competitive edge they need to make faster, smarter decisions. The MCP connector is the natural next step, taking that intelligence out of a standalone platform and putting it where you’re already working.
Whether you’re an analyst cutting time off weekly reporting, a PPC manager pulling a quick brief before a client call, or a strategist who wants their AI assistant to know what’s actually happening in the market: this is built for you.
It’s somewhat early days for AI-native workflows in search marketing. But the teams who get there first tend to stay ahead.
