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"Databases or database systems written in Python, like Postgres" matching MCP servers:

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    An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.
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    Enables LLMs and agents to interact with relational databases (SQL Server, MySQL, PostgreSQL) through MCP tools. Supports executing queries, inserting records, listing tables, and exposing database schemas with secure credential management.
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    what is go-mcp-postgres? go-mcp-postgres is a Model Context Protocol (MCP) server designed for interacting with Postgres databases, allowing for easy CRUD operations and automation without the need for a Node.js or Python environment.
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    Enables comprehensive PostgreSQL database management through natural language including queries, schema operations, user management, and administrative tasks. Features enterprise-grade connection pooling, transaction support, and full database administration capabilities.
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    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.
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    Enables academic research through paper search across multiple databases (IACR, CryptoBib, Crossref, Google Scholar), PDF processing, and GitHub repository browsing. Features modular architecture with FastMCP-based proxy server routing to specialized academic tools.
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    Enables interaction with PostgreSQL databases through natural language commands. Supports schema exploration, table inspection, DDL generation, data preview, and safe SQL execution with built-in query limits.
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    Provides a natural language interface for querying and managing PostgreSQL, MySQL, MariaDB, MSSQL, and SQLite databases using the Model Context Protocol. Users can explore database schemas and visualize query results through an integrated web dashboard.
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    MIT
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    Enables AI agents to interact with PostgreSQL databases through schema intelligence, query execution, and DBA tooling including index analysis and health monitoring. Features configurable access levels and audit logging for secure database operations.
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    Enables AI assistants to interact with PostgreSQL and Supabase databases through natural language. Supports secure database operations including queries, migrations, and schema management with user-provided credentials.
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    Provides universal database operations for AI assistants through MCP, supporting 40+ databases including PostgreSQL, MySQL, MongoDB, Redis, and SQLite with built-in introspection tools for schema exploration.
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    MIT
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    A Model Context Protocol server that enables querying PostgreSQL databases with tools for executing SELECT queries, inspecting database schemas, and listing tables through natural language.
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    Enables AI assistants to interact with PostgreSQL databases through query execution and schema inspection, supporting multiple schemas for customer data, document management, loan systems, and asset leasing.
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    This server enables interaction with PostgreSQL databases through the Model Context Protocol, optimized for the AWS Bedrock AgentCore Runtime. It provides tools for executing read-only queries, exploring database schemas, and monitoring table statistics or slow queries.
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