Connect Claude to any PostgreSQL, MySQL, or SQLite database. Query, inspect, and write data using natural language — no SQL knowledge required.
How to pay
Subscribe
$11/month
Predictable monthly cost with included usage. Best for steady, high-volume traffic.
- Unlimited tools within plan limits
- One API key, billed once a month
- Cancel any time
Overview
SuperSimple DB Connector v4.0.0 is an enterprise-ready MCP server that builds an intelligent and secure bridge between AI agents (like Claude) and your SQL databases. While other connectors stop at simple querying, this server offers Deep Schema Introspection and Active Governance. It enables AI to understand complex relationships, profile data quality, and fully audit every action—all while maintaining strict security boundaries.
Key Capabilities (Advanced Toolset)
Discovery & Intelligence
list_tables: Instantly identifies all accessible tables in PostgreSQL, MySQL, or SQLite.
describe_table: Provides deep metadata, including column types, constraints, and Foreign Key relationships. This allows the AI to write flawless JOIN queries without guesswork.
count_rows: Returns the exact row count of a table. This helps the AI assess data scale and manage token costs effectively.
Data Analysis & Profiling
data_profile: Generates statistical profiles for specific columns (unique counts, null checks, min/max ranges). Perfect for rapid data quality assessments.
query_data: Executes SELECT queries with enforced pagination (max 100 rows) and AST-level validation to block forbidden tables.
explain_query: Allows the AI to analyze the execution plan (EXPLAIN) before a query runs, preventing slow queries that could strain production databases.
Safe Writing & Compliance
write_data: Enables secure INSERT, UPDATE, and DELETE actions. The tool enforces WHERE clauses on all modifications and requires a mandatory explanation for every action.
Audit Logging: Every interaction is logged (Tool, SQL, Arguments, Status), ensuring total traceability and adherence to compliance regulations.
Why it’s "Pro"
Context-Aware Analysis: By providing Foreign Keys via describe_table, the AI understands your database architecture, drastically reducing hallucinations during SQL generation.
Multi-Engine Security: The server automatically adapts its query logic and security checks to the specific database client (Postgres, MySQL, or SQLite), including engine-specific syntax validation.
Governance-by-Design: Using AST-level parsing and FORBIDDEN_TABLES filters, unauthorized access is blocked at the application layer before the database is even reached.
Who This Is For
Data Analysts: Who want to explore and profile complex datasets via natural language without writing manual SQL scripts.
Security & Compliance Officers: Who require full control and insight into how AI interacts with corporate data through detailed audit trails.
Developers: Who need a robust, secure data gateway for their AI-driven workflows.