SQLAlchemy is a SQL toolkit and Object-Relational Mapping (ORM) library for Python that provides a full suite of well-known enterprise-level persistence patterns
Postgres Pro is an open source Model Context Protocol (MCP) server built to support you and your AI agents throughout the entire development process—from initial coding, through testing and deployment, and to production tuning and maintenance.
Last updated
9
3,004
MIT
Why this server?
Provides a preset for SQLAlchemy projects, automatically detecting SQLAlchemy and generating configuration to obfuscate ORM models while preserving column definitions, relationships, and query methods.
Model Context Protocol server for pyobfus — the Python obfuscator. Lets Claude Desktop, Claude Code, Cursor, Windsurf, and Zed call pyobfus tools (preflight risk check, zero-config init, reverse stack-trace mapping) directly from an agent conversation.
Last updated
8
1
Apache 2.0
Why this server?
Provides structural patterns and development guidelines for using SQLAlchemy as an ORM in Python-based architectures.
A specialized architecture design MCP server that enables AI-assisted developers to plan optimal system structures through interactive consultations. It generates structured ARCHITECTURE.md and .ai-context.yaml files to guide AI coding tools in building scalable and cost-effective infrastructure.
Last updated
6
14
2
MIT
Why this server?
Reads SQLAlchemy model definitions to generate Entity-Relationship diagrams and detect drift between the schema and existing diagrams.
MCP server that reads your database schema from SQL DDL, Prisma, Drizzle, TypeORM, or SQLAlchemy, generates a Mermaid ER diagram, and writes it into your documentation, with drift detection to keep diagrams up-to-date.
Last updated
5
1
MIT
Why this server?
Offers tools to analyze and optimize ORM-generated queries, helping to identify and fix performance issues in SQLAlchemy code
An open source Model Context Protocol server for PostgreSQL that provides database health analysis, index tuning, query plan exploration, and safe SQL execution for AI agents throughout the development process.
Last updated
9
MIT
Why this server?
Integrates with SQLAlchemy to provide a unified interface for LLM agents to perform CRUD operations across multiple supported database systems.
Enables LLM agents to perform CRUD operations across multiple databases including PostgreSQL, MySQL, and SQL Server using SQLAlchemy. It features configurable permission management and secure connection handling with automatic password redaction.
Last updated
4
Why this server?
Integrates with SQLAlchemy models to automatically generate typed tools, handle relationships, and provide schema discovery for AI agents.
Turns your data model into a semantic layer for AI agents, automatically generating typed, discoverable tools with entity relationships and schema discovery.
Last updated
646
Apache 2.0
Why this server?
Uses SQLAlchemy to provide database abstraction and connection to various database backends.
Provides comprehensive Taiwan stock market data and analysis through MCP tools. Enables querying real-time stock prices, historical data, company information, technical analysis, and market overviews for TWSE and TPEx listed companies.
