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Safely interact with multiple databases using schema discovery and intent-aware AI.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Bollard MCP" yet — see the docs or source repo.
Connect to the current database, automatically discover the schema, summarize the main tables, columns, and key relationships in English, then identify which tables are best for user retention analysis.
A schema overview, explanation of key table relationships, and recommendations for retention-analysis tables.
I want to count paid orders and total revenue by region for the last 30 days. First validate whether my intent is clear and whether it could involve risky write operations; if safe, generate executable SQL and explain the source of each field.
Intent validation, safety notes, executable SQL, and an explanation of field mappings.
Continue the previous database session and, based on the earlier order analysis, identify the top three product categories with the highest refund rates, then provide conclusions and the corresponding SQL.
A context-aware follow-up analysis with refund-rate rankings, concise findings, and the related query.
Safely let AI inspect database schemas and query PostgreSQL and MySQL data.
Safely query SQL and NoSQL databases through AI with zero setup.
Let AI safely query and manage DuckDB databases through MCP tools.
Securely query databases with natural language and get analysis-ready results.
Securely query and analyze multiple databases with natural language across systems.
Connect AI assistants to PostgreSQL for secure querying, management, and analysis.