Dataslayer mcp

Analyze your marketing, analytics, ecommerce, and SEO data directly in Claude using natural language. Connect to leading platforms such as Google Ads, Meta Ads, Google Analytics 4, TikTok Ads, LinkedIn Ads, Microsoft Ads, Shopify, HubSpot, Google Search Console and more. Retrieve up-to-date metrics, combine data from multiple sources and turn complex datasets into clear insights without writing SQL or code. Ask questions as you would ask a colleague, compare campaign performance, identify trends and generate reports to make faster, data-driven decisions. With Dataslayer MCP, your marketing data becomes part of the conversation, making it easier to explore performance, uncover opportunities and automate recurring analysis directly in Claude.

View in the Claude registry

Integration type: Connector
Verification status: Community connector
Platform: Claude
Category: Data & Analytics
Primary Subcategory: Marketing & Commerce Data Integration
Secondary Subcategories: None listed
Brand: Dataslayer
Access: Account required
First tracked: 2026-07-14
Tool count: 9
Geography: US

Claude Discoverability Score

Live · refreshed daily

Dataslayer mcp in Marketing & Commerce Data Integration

0/100

Invisible

#13of 16competitors

This is the score for the Integration’s Primary Category, Marketing & Commerce Data Integration. Dataslayer mcp's tools align with this Category, which is why we measure it here. Claude did not find it in connector search, show it in the connector picker, or invoke it in the measured contested Runs. That is why the score is 0.

How this score is measured

Improve your score Talk to our team

What we measure

One core score. Three important factors to discoverability.

Picked
· 0/100
Sets the score
Found
· 0/100
Diagnostic
Positioned
· 0/100
Diagnostic

Primary Subcategory

Competing in Claude Marketing & Commerce Data Integration

View Category

9 scoredVerified connectors by score · Community connectors A–Z

Primary Subcategory

1Shopify100/100

2Supermetrics Marketing Analytics88/100

3Polar Analytics85/100

4Windsor.ai77/100

5Klaviyo69/100

—AdvisorPPC - Google Ads, Analytics, Tag Manager, Search Console and YouTube ConnectorOrganic discovery is pending verificationGet notified when verified

—AdzviserOrganic discovery is pending verificationGet notified when verified

—Catchr MCPOrganic discovery is pending verificationGet notified when verified

—Dataslayer mcpOrganic discovery is pending verificationGet notified when verified

—QmutatorOrganic discovery is pending verificationGet notified when verified

—SyncWith Marketing AnalyticsOrganic discovery is pending verificationGet notified when verified

Score explained

What does 0/100 mean?

0 is Dataslayer mcp's rounded picker appearance rate. It appeared in the connector picker, or Claude invoked it directly, in 0% of contested conversations. All three measures are important to discoverability: Picked determines the headline score, Found shows how often Claude found Dataslayer mcp in connector search, and Positioned shows where it appeared in the picker.

InvisibleBuriedEmergingCompetitiveWinning

Dataslayer mcp is 10 points from Buried.

FoundDiagnostic

Whether Claude found your Connector in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.

PickedMain score

How often your Connector appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.

PositionedDiagnostic

What position your Connector appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.

Read the full scoring methodology Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.

Tools

9 tools agents can invoke

No public description for this tool yet.
No public description for this tool yet.
No public description for this tool yet.
No public description for this tool yet.
No public description for this tool yet.
No public description for this tool yet.
No public description for this tool yet.
No public description for this tool yet.
No public description for this tool yet.

Dataslayer mcp FAQ

How do I improve a Community connector's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Dataslayer mcp alternatives on Claude?

As of 2026-08-14, Dataslayer mcp competes with Shopify, Supermetrics Marketing Analytics, Polar Analytics, Windsor.ai, Klaviyo, Intuit Mailchimp, MailerLite, HubSpot, Coupler.io, AdvisorPPC - Google Ads, Analytics, Tag Manager, Search Console and YouTube Connector, Adzviser, Catchr MCP, Funnel, Qmutator, SyncWith Marketing Analytics in Claude Marketing & Commerce Data Integration, ranked by public Discoverability Score.

Where does Dataslayer mcp rank in Marketing & Commerce Data Integration on Claude?

As of 2026-08-14, Dataslayer mcp ranks #13 of 16 in Claude Marketing & Commerce Data Integration with a Discoverability Score of 0/100 (Invisible).

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.