How to use MCP to get more data from the tools you already use

Model Context Protocol (MCP) makes it easier to activity pinch the information already sitting wrong your SEO and trading tools. Instead of digging done reports, exporting data, and stitching spreadsheets together, you tin inquire an AI adjunct questions that would different return hours to answer.

That makes an MCP server useful for study that requires uncovering patterns crossed pages, keywords, traffic, rankings, and different information points.

Here’s really I’ve been utilizing MCP servers to get much retired of devices for illustration Ahrefs, Google Analytics, and Google Search Console.

Using MCP to uncover what’s driving competitor growth

A fewer months ago, I group retired to study why a client’s competitor was increasing truthful fast. Ahrefs showed maine their winning pages and keywords, but not the underlying inclination aliases really the pieces fresh together.

• Had those pages climbed steadily for months aliases spiked suddenly?
• Did the maturation way to a page type aliases subdirectory, aliases did the full tract use from an algorithm update?

I connected Claude to the Ahrefs MCP server and asked it to excavation in. Minutes later, I had a breakdown of which pages were caller successful the past six months, their estimated traffic, the keywords driving it, and really cardinal pages had grown period complete month.

Here’s what I learned astir this competitor:

• They built a caller conception of their tract pinch highly focused work pages.
• International contented they’ve been building for the past 3 years started to return off.
• They flipped the move connected domain redirects for 10+ firms they acquired years ago.

Ahrefs doesn’t hide this data, but it’s scattered crossed reports and different filters. Normally, you’d export dozens of reports and harvester the information pinch pivot tables. For monthly, weekly, aliases regular comparisons, that process is slow and frustrating.

MCP lets you propulsion and reshape information that already lives successful the devices you salary for, but is simply a symptom to scope done the normal interface. Developers who activity pinch APIs won’t find this new. For everyone else, it opens up a full caller world of information analysis.

How MCP connects AI to your tools

MCP is an unfastened modular that lets AI assistants link to outer devices and information sources. Anthropic open-sourced it successful November 2024, and support has since expanded crossed awesome AI platforms.

An MCP server connects an AI adjunct to a circumstantial instrumentality aliases service, letting you query its information successful plain language. For example, Semrush offers respective MCP servers.

Many different AI platforms and devices support MCP arsenic well, including N8N and Copilot Studio.

Dig deeper: WebMCP explained: Inside Chrome 146’s agent-ready web preview

The questions your trading dashboards can’t easy answer

This is wherever MCP tin gain its spot successful your workflow. The mundane worldly — what a page ranks for, really galore backlinks it has — is easy to look up anywhere. The difficult questions are the ones wherever the reply is hidden successful the data, and you person to excavation for it.

Here are the kinds of prompts I’ve used:

• “Using the Ahrefs MCP server, thief maine understand why this tract is doing truthful well, particularly successful the past 12 months. Is it circumstantial pages aliases keywords?”
• “Using Ahrefs data, tin you show which pages are caller successful the past six months and what their estimated postulation is?”
• “Compare the backlink profiles and maturation trends for these 5 sites, and show maine which 1 is picking up referring domains the fastest and how.”
• “Across these 20 keywords successful my niche, which sites rank astir often and successful the champion positions?”

These are the questions that often travel up successful study work, specified arsenic competitor investigation and post-algorithm reviews. You tin do this manually, but it takes hours of busywork to portion everything together.

MCP useful crossed your trading stack

Many trading platforms now vessel MCP servers, including Semrush, DataForSEO, Serpstat, Buffer, and VidIQ.

What you tin propulsion depends connected what each instrumentality exposes done its API, but erstwhile it’s connected, each you person to do is inquire it questions.

Google Analytics is 1 of the astir useful MCP servers I’ve used. GA4 is powerful but difficult to navigate. Half the time, you cognize the reply is successful there, but don’t want to build different exploration study to find it.

The Google Analytics MCP server connects to the GA4 Data API, truthful you tin conscionable ask. A fewer examples:

• Diagnosing a drop:
  • “Organic postulation fell astir 20% past week. Which pages mislaid the most, and is it concentrated successful a circumstantial state aliases instrumentality type?”
• Finding the mismatch:
  • “Which pages person precocious engagement clip but a debased conversion rate?”
  • “Can you springiness maine postulation for the past 30 minutes, by the minute?”

If you negociate aggregate accounts, you tin tally queries crossed respective properties astatine once:

• “Across each my properties, what are their respective information retention settings (2 months vs. 14 months)?”
• “What is the mixed postulation for [site 1] and [site 2] for the past week, surgery down by Organic, Direct, and Referral?”
• “Which web information streams successful my relationship do not person Enhanced Measurement enabled?”

One of my go-to uses for this MCP server is analyzing postulation aft algorithm updates and trying to understand what the effect mightiness be, specified arsenic which pages person declined aliases improved. I’ve besides utilized it to reappraisal postulation crossed a client’s full tract to find opportunities for contented refreshes and place existent anomalies that guidelines retired against normal fluctuations.

Querying the API straight besides bypasses the 5,000-row export limit of the GA4 interface. The biggest drawback to the Analytics MCP is that it’s quite analyzable to group up: it requires a Google Cloud task and an OAuth client.

Google Search Console MCP

Ahrefs gives you third-party estimates, and GA4 shows what group did aft they landed. To complete the stack, adhd Google Search Console to get queries, impressions, clicks, CTR, and mean position.

Google has an charismatic GA4 MCP server, but not an charismatic Search Console MCP server. Several community-built GSC MCP servers are disposable connected GitHub. If you’re connecting to a client’s property, cheque what entree the MCP server requests earlier installing it. 

I usage one from Suganthan Mohanadasan, which is open-source and lets you tally the MCP server locally from your ain computer. The setup is the aforesaid arsenic the Google Cloud task and OAuth process for the GA4 MCP server, truthful group speech immoderate clip to get it going.

Once it’s connected, it handles the questions the Search Console interface makes difficult. Here are a mates of examples I like:

• “Give maine a wellness cheque crossed my GSC properties.” One punctual covers each spot astatine once, alternatively of opening each relationship to check.
• “What topics is [site] missing contented for based connected adjacent query data?” This has fixed maine immoderate fantabulous topics that don’t beryllium successful my GSC relationship but are related to the query data.

Like the different MCP servers I’ve talked about, the information is there, but MCP lets you get it retired easy and successful a measurement the GSC dashboard can’t.

Tracking really AI talks astir your brand

If you attraction astir GEO, MCP tin besides show your AI hunt visibility. Both Ahrefs and Semrush connection AI metrics accessible done their MCP servers.

For example, Ahrefs’ Brand Radar (an costly paid upgrade, unfortunately) tracks really brands look successful AI answers crossed awesome surfaces for illustration Google’s AI Overviews and AI Mode, ChatGPT, Perplexity, Gemini, and Copilot. It tracks stock of sound against competitors, shows marque mentions and citations, and identifies which pages and domains those platforms mention astir successful your space.

Semrush offers an MCP server that includes entree to useful AI metrics, too. You tin inquire it to summarize wherever competitors are seeing shifts successful AI postulation and really your tract compares.

Many different AI devices are building MCP servers, too. For example, Waikay.io, an awesome AI marque monitoring instrumentality from Dixon Jones, conscionable released an MCP server for customers connected Level 2 accounts.

Chaining devices and speeding up reporting

You tin velocity up study by connecting aggregate sources. Because the AI holds discourse crossed tools, you tin inquire a mobility that would usually mean 3 logins and a spreadsheet to reconcile.

For example: Which blog posts mislaid postulation past month, what keywords do they rank for, and which are worthy refreshing first? One root has the traffic, different has the rankings, and the adjunct pulls some into a azygous answer.

Reporting is the evident use. People ligament up MCP servers done connectors for illustration N8N and platforms for illustration HubSpot to propulsion the week’s data, summarize it, and driblet it into a doc aliases email connected a schedule. You still want a quality reference the output, but the grunt activity of gathering and formatting becomes overmuch easier.

Dig deeper: AI agents successful SEO: A applicable workflow walkthrough

What to cognize earlier utilizing MCP

None of this is caller to developers. Anyone comfortable pinch an API could propulsion and reshape this information agelong earlier MCP existed.

But the information is now much accessible, and we tin inquire LLMs questions astir it. MCP exposes capabilities that lived down codification and makes them disposable to group pinch zero developer skills.

Even for developers, being capable to talk to an LLM astir the information tin thief them understand its meaning aliases animate ideas they would ne'er person travel up pinch connected their own.

A fewer limitations are worthy knowing:

• These MCP servers tally connected the tool’s API, truthful large requests eat into your API credits and scheme limits. Heavy queries adhd up.
• The AI only sees what the API exposes. If a information constituent isn’t disposable done the tool’s API, you can’t usage it successful analysis.
• Verify the output. The information is correct, but the AI tin still misread it aliases oversimplify. Sanity-check thing you’ll enactment connected aliases put successful beforehand of a client.
• Tell it to usage the MCP. Assistants don’t ever cognize whether to telephone the connected instrumentality aliases conscionable hunt the web, truthful I commencement prompts pinch “Using the Analytics MCP” to guarantee the correct way is taken.
• Be diligent pinch large requests. A task spanning galore keywords aliases respective sites tin return a while to travel backmost and, depending connected your LLM plan, whitethorn pain done credits and require regular pauses until they replenish.

Where to start

Pick 1 instrumentality you already salary for and 1 mobility its dashboard makes annoying. Connect the MCP server to your LLM of choice, ask, and comparison the reply to doing it by hand. 

That first query is apt to unfastened your eyes to the possibilities. After that, you’ll spot really galore of your data-pull tasks are a azygous punctual away.