DBHUB
Query your advertising and e-commerce data (Facebook Ads, TikTok Shop, Google Ads) in plain language with read-only SQL and a built-in metrics glossary.
- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
DBHub gives Claude read-only access to your dbhub data warehouse, which consolidates advertising and e-commerce data from sources such as Facebook Ads, TikTok Shop and Google Ads. What it does: - List the tables in your workspace, grouped by data source, with descriptions and date columns - Describe a table: columns, business meaning, summable metrics, derived metric formulas and aggregation rules - Look up business definitions (CTR, CPC, CPM, ROAS and more) so metrics are computed correctly - Run read-only PostgreSQL queries (SELECT only, up to 1000 rows, 30-second timeout) Common uses: analyze ad performance across channels, compare campaigns, and answer marketing and sales questions with real data. Security: all tools are read-only. No data can be modified. Sign-in via OAuth is required.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- Account required
- First tracked
- 2026-10-20
- Tool count
- 4
- Geography
- US
The broad Category that contains the Primary Subcategory.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Claude Connector discovery is coming soon
Community Connectors only appear in Claude’s registry.Once verified, organic discovery begins and we can calculate your score.Read more about Community Connector verification.
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What discovery looks like

Claude can surface verified Connectors when they match a user’s Prompt.
How Claude Connector discovery works
Your Connector will compete to appear for users’ Prompts once Claude verifies it
Competitive lineup
4 tools agents can invoke
DBHUB Claude Connector FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve DBHUB's Claude Connector 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.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.