SEMrush
 · MCP Server

SEMrush MCP — Competitive Intelligence at Conversational Speed

Improvado's MCP server connects SEMrush data to your AI agent. Query keyword rankings, audit traffic trends, analyze competitor domains, and track backlink growth — all in natural language. Works with Claude, Cursor, and any MCP-compatible tool.

46K+ metrics · Read & Write access · 500+ platforms · <60s setup
📈 Read

Read: Pull SEMrush Data Without the Manual Export Cycle

Stop downloading SEMrush reports to get basic answers. Ask your AI agent about organic keyword rankings, competitor traffic estimates, backlink acquisition trends, or site audit issues — and get answers in seconds.

Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.

Example prompts
"Show anomalies across all accounts" 2h → 40s
"CPL in New York vs. California?" 1h → 30s
"ROAS by campaign type, last 30 days" 45m → 15s
Works with Claude ChatGPT Cursor +5
Write actions
"Launch A/B test, $5K budget" 5 days → 20m
"Shift 20% of Display to PMax" 2h → 1m
"Pause all ad groups with CPA > $50" 30m → 10s
🛡 Every action logged · Fully reversible · SOC 2 certified
🚀 Write

Write: Organize Campaigns and Track Projects via AI

Set up position tracking projects, configure site audit schedules, and manage keyword lists directly through your AI agent. The SEMrush project management that normally lives buried in menus.

250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.

⚠️ Monitor

Monitor: Watch Rankings and Competitors Without Daily Logins

Set AI-powered watches on keyword rankings, competitor traffic shifts, and backlink velocity. Get notified about significant changes before they impact your organic strategy.

Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.

Monitor prompts
"Flag ad groups over 120% budget" 3h → 1m
"Weekly report: spend, CPA, anomalies" 3h → auto
"Which creatives are fatiguing?" 2h → 30s
Alerts sent to Slack, email, or your AI agent
💡
Ideate
🚀
Launch
📈
Measure
🔍
Analyze
📝
Report
🔄
Iterate
One conversation. All six phases. Every platform.
🔄 Full Cycle

The Closed Loop: Read → Decide → Write → Monitor

Set up position tracking projects, configure site audit schedules, and manage keyword lists directly through your AI agent. The SEMrush project management that normally lives buried in menus.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Challenge 1

Competitor Gap Analysis Takes Half a Day

THE PROBLEM

Finding keyword gaps requires exporting your domain's keywords, exporting a competitor's keywords, loading both into a spreadsheet, deduplicating, filtering by volume and difficulty, and sorting the output. By the time you've done it for 3 competitors, you've lost an afternoon and the data is already aging.

HOW MCP SOLVES IT

Ask your AI agent to run the gap analysis directly from SEMrush data. It queries your domain and competitor domains simultaneously, identifies keywords they rank for that you don't, and filters by volume and difficulty — in one conversation.

Try asking
"Show ROAS across all 120 accounts"
Answer in seconds
All data sources, one query
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
Challenge 2

Backlink Audit Reports Are Always Out of Date

THE PROBLEM

You run a backlink audit once a quarter because it's a 90-minute process: export referring domains, check for toxic scores, cross-reference with disavow file, identify new high-authority links, write the summary. By the time you're done, a month has passed and new links have come in.

HOW MCP SOLVES IT

Your AI agent pulls the current backlink profile from SEMrush, scores referring domains by authority and spam flag, compares against the previous snapshot, and surfaces net-new high-value links and potential toxic patterns — in minutes.

Challenge 3

Site Audit Issues Never Get Prioritized Consistently

THE PROBLEM

SEMrush site audits return 200+ issues across technical, on-page, and linking categories. Everyone prioritizes differently. Some engineers fix easy wins, others tackle whatever looks important. There's no systematic scoring that considers both issue severity and traffic impact.

HOW MCP SOLVES IT

Ask your AI agent to cross-reference SEMrush audit issues with your organic traffic data. It surfaces issues that affect your highest-traffic pages first — crawlability errors on money pages rank above duplicate meta tags on low-traffic posts.

Try asking
"PMax vs. Search ROAS for Q1?"
⚖️
Unified data model
Compare anything side by side
Agency CEO
Portfolio health. Client risk. Revenue signals.
Media Strategist
70% strategy, not 70% ops. Auto campaign QA.
Marketing Analyst
Zero wrangling. Cross-platform. AI narratives.
Account Manager
QBR decks auto-generated. Call prep in 30s.
Creative Director
Performance-to-brief. Predict winners before spend.
👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.

Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.

Frequently Asked Questions

What SEMrush data can I access through the MCP server?
+

Organic keyword rankings, estimated traffic metrics, competitor domain analysis, backlink profiles, referring domain data, site audit results, and position tracking history. Essentially all data accessible via the SEMrush API is queryable through the MCP connection.

Does this work with my existing SEMrush projects and tracking campaigns?
+

Yes. The MCP server connects to your SEMrush account and reads your existing position tracking projects, site audit configurations, and keyword campaigns. You can also create and update projects through the MCP connection.

Can I combine SEMrush data with other marketing data through the same MCP connection?
+

Yes. Improvado's MCP server covers 500+ data sources. You can combine SEMrush organic rankings with Google Ads paid keyword data, Google Search Console impressions, and web analytics in a single query — all through one MCP connection.

How current is the SEMrush data available through the MCP server?
+

Data freshness depends on SEMrush's own update cadence — keyword rankings and traffic estimates update on their standard schedule (typically monthly database updates, with position tracking updating daily). When you query through the MCP server, you're getting the same freshness as if you queried SEMrush's API directly.

Does querying SEMrush data through Improvado MCP count against my SEMrush API credits?
+

Yes, each data pull from SEMrush consumes API units according to your SEMrush plan, just as a direct API call would. Improvado MCP caches results to minimize redundant calls — repeated queries for the same dataset within a session typically do not re-fetch from the source. You can configure cache TTL to balance freshness against credit usage.

How is Improvado MCP different from SEMrush's own reporting and export tools?
+

SEMrush's native tools are designed for single-platform analysis and manual export workflows. Improvado MCP makes the same data queryable by AI agents alongside data from other platforms — for example, correlating keyword rankings with paid ad spend or CRM pipeline data in one question. This cross-source analysis is not possible within SEMrush's native interface.

What SEMrush data can I access through the MCP server?
Organic keyword rankings, estimated traffic metrics, competitor domain analysis, backlink profiles, referring domain data, site audit results, and position tracking history. Essentially all data accessible via the SEMrush API is queryable through the MCP connection.
Does this work with my existing SEMrush projects and tracking campaigns?
Yes. The MCP server connects to your SEMrush account and reads your existing position tracking projects, site audit configurations, and keyword campaigns. You can also create and update projects through the MCP connection.
Can I combine SEMrush data with other marketing data through the same MCP connection?
Yes. Improvado's MCP server covers 500+ data sources. You can combine SEMrush organic rankings with Google Ads paid keyword data, Google Search Console impressions, and web analytics in a single query — all through one MCP connection.
How current is the SEMrush data available through the MCP server?
Data freshness depends on SEMrush's own update cadence — keyword rankings and traffic estimates update on their standard schedule (typically monthly database updates, with position tracking updating daily). When you query through the MCP server, you're getting the same freshness as if you queried SEMrush's API directly.
Does querying SEMrush data through Improvado MCP count against my SEMrush API credits?
Yes, each data pull from SEMrush consumes API units according to your SEMrush plan, just as a direct API call would. Improvado MCP caches results to minimize redundant calls — repeated queries for the same dataset within a session typically do not re-fetch from the source. You can configure cache TTL to balance freshness against credit usage.
How is Improvado MCP different from SEMrush's own reporting and export tools?
SEMrush's native tools are designed for single-platform analysis and manual export workflows. Improvado MCP makes the same data queryable by AI agents alongside data from other platforms — for example, correlating keyword rankings with paid ad spend or CRM pipeline data in one question. This cross-source analysis is not possible within SEMrush's native interface.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II
GDPR
500+ Platforms
46K+ Metrics