Exposing Database Resources via MCP

Databases are among the most valuable data sources for AI assistants — but raw database access is too dangerous to give an LLM directly. An MCP server acts as a controlled proxy between the AI and your database, exposing only the data and operations you explicitly allow, with validation, rate limiting, and auditing built in.

Before writing code, decide what the AI should be able to see and do. Define: which tables are readable, which tools perform write operations (if any), what data must be filtered by user context, and what columns should be hidden (passwords, PII). This design phase prevents accidental data exposure.

• Read tools: list_records, get_record, search_records
• Write tools (optional, restricted): create_record, update_record
• Forbidden: raw SQL execution, schema mutations, system tables