Tools are generated per target
Each configured database becomes a clearly named set of list, describe, and query tools, reducing ambiguity for both users and AI clients.
AI tooling
Postgres Read MCP
A Model Context Protocol server that gives AI clients structured, read-only access to multiple PostgreSQL databases.
ARCHITECTURE / CONCEPTUAL VIEW
Derived from public repository documentation
01AI Clientinterface
02MCP Toolsservice
03Read Guardservice
04PostgreSQL Targetsdata
CHALLENGE
What the system needed to solve.
AI assistants are useful when they can inspect real data, but direct database access creates a serious trust boundary. The system needed to expose useful schema and query capabilities without allowing mutation.
CONSTRAINTS
The boundaries that shaped the build.
- Support multiple named database targets from environment configuration.
- Keep every exposed query path read-only.
- Remain simple to configure across different AI clients.
ENGINEERING DECISIONS
Choices with consequences.
Read-only is a product boundary
The server limits the query surface to SELECT operations so safety is visible in the interface, not left as an operational promise.
Configuration stays portable
Environment variables make the same binary practical across local, development, QA, and production-like targets.
RELIABILITY CONSIDERATIONS
Prepared for the operating reality.
- Explicitly constrained query capability
- Named targets reduce accidental database selection
- Documented handshake and smoke-test paths
OUTCOMES / HONEST EVIDENCE
What can be stated today.
- Public implementation and setup documentation are available.
- Usage metrics and adoption evidence are pending before launch.
TECHNOLOGY