AI for Database
Query your databases in plain English, run read-only SQL and set up data alerts from Claude.
- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
AI for Database connects Claude to the databases in your AI for Database workspace (Postgres, MySQL, SQL Server, MongoDB, Snowflake and more). Ask a question in plain English and get the answer, the SQL that produced it and the rows; inspect schemas; run your own SQL inside a read-only transaction; list dashboards; and create or run workflows that check your data on a schedule and send email or webhook alerts. Queries are read-only: statements that write are rejected by the database. Tools that can send alerts are marked so Claude asks before running them. Plain-English questions use your workspace's AI credits; run_query and the other tools don't. The connector uses a key scoped to your workspace and cannot change billing, members or connection credentials. Revoke it any time under Settings > API Keys.
- 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
- 2026-09-29
- Tool count
- 9
- 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
9 tools agents can invoke
AI for Database FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow 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.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.