Keyword

@Keyword show me the current rankings for all keywords in our 'Q1 Product Launch' project, grouped by device type

Based on the project data, here's an illustrative summary: Your 'Q1 Product Launch' project tracks 47 keywords across desktop and mobile. Desktop rankings average position 12.3, with 8 keywords in the top 10. Mobile rankings average position 15.7, with 5 keywords in the top 10. Notable movers this week: 'enterprise workflow automation' jumped from position 23 to 14 on desktop. Three keywords show 'not ranking' status on mobile, suggesting potential mobile optimization opportunities.

This example demonstrates the MCP's read capability for ranking data. Requires API key with read access to projects. Note that ranking data reflects the last crawl timestamp—typically 24-48 hours behind real-time. The MCP returns raw position data; the AI synthesizes trends and insights from that data.

@Keyword add these five keywords to our 'Competitor Analysis' project: 'AI project management', 'team collaboration software', 'async communication tools', 'remote work platform', 'workspace automation'

I've added all five keywords to your 'Competitor Analysis' project. Each keyword is now configured to track rankings for the target URL you specified in the project settings, monitoring both desktop and mobile results in the US-Google region. Initial ranking data will populate within 24-48 hours after the next scheduled crawl. You can view these keywords immediately in your Keyword.com dashboard under the 'Competitor Analysis' project.

This write example shows how the MCP handles bulk keyword additions. The action is immediate but ranking data isn't—there's a crawl delay before positions appear. If your project has device or region settings, new keywords inherit those. Be aware of your account's keyword limit; the MCP will return an error if you exceed your plan's quota.

@Keyword compare our ranking performance for 'project management' related keywords against last month, then draft a brief report highlighting which keywords improved and which declined

Here's an illustrative analysis: Comparing current rankings to 30 days ago for your 15 'project management' keywords: 7 keywords improved (average gain: +4.2 positions), 5 declined (average loss: -2.8 positions), and 3 remained stable. Top gainer: 'agile project management software' moved from position 18 to 9. Biggest decline: 'project tracking tools' dropped from position 11 to 17. Overall trend is positive with a net improvement of +1.4 positions across the keyword set. Consider investigating content changes or competitor activity for declining keywords.

This synthesis example pairs the MCP's historical ranking data with the AI's analytical reasoning. The MCP provides raw position data over time; the AI calculates deltas and identifies patterns. Useful for monthly reporting or strategy reviews. Historical data availability depends on how long you've been tracking each keyword—newly added keywords won't have comparison data.

When Keyword.com beats spreadsheet rank tracking for agencies

A 6-person agency managing 12 client sites needs weekly rank reports without logging into each client's Search Console. The Keyword MCP wins here because it centralizes tracking across projects and regions—one API key, 20 tools covering bulk keyword adds, project archiving when contracts end, and retrieval of historic ranking data. The threshold: if you're only tracking 3-5 keywords per client, manual checks in GSC are faster. But once you hit 50+ keywords across multiple regions (US, UK, AU), the MCP's bulk operations and project grouping save 2-3 hours per week. The buying call is simple: if you bill clients for rank reporting and need audit trails, this MCP turns Switchy into your rank-tracking command center without switching tools.

Why this MCP is overkill for most content planning workflows

A 4-person content team at a SaaS company wants to track which blog posts rank for target keywords. The Keyword MCP is borderline here. It excels at monitoring existing rankings over time—add 20 keywords, check weekly movement, archive old campaigns—but it doesn't surface new keyword ideas or search volume. If your workflow is 'write post, track rank, adjust meta tags', the MCP fits. If you're doing upfront research (finding gaps, estimating traffic), you still need Ahrefs or Semrush in the loop. The trade-off: Keyword.com is a tracker, not a discovery tool. For teams that already know their target keywords and just need rank surveillance in Switchy, it's a clean fit. For teams still figuring out what to write about, start elsewhere.

When bulk keyword deletion matters for seasonal SKU tracking

A 3-person e-commerce team runs 8 seasonal product categories and tracks 200+ keywords across desktop and mobile. Every quarter, they archive old campaigns (winter boots, holiday gifts) and spin up new ones. The Keyword MCP's bulk delete and project archiving tools are the reason to use it here—manually pruning 50 keywords from a dead campaign in a web UI is tedious; doing it via Switchy in 10 seconds is the point. The caveat: if your catalog is stable year-round, the MCP's project-management overhead (create, archive, restore) is wasted. But for teams with high keyword churn—launching and sunsetting campaigns every 90 days—this MCP keeps your rank data organized without the busywork. If you're tracking more than 100 keywords and rotating them quarterly, this is your tool.