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"Creating a Postgres MCP server in Python" matching MCP servers:

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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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    3,135
    MIT
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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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    MIT
  • F
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    A read-only MCP server for PostgreSQL. Connect any MCP-compatible AI agent to your PostgreSQL server and explore databases, schemas, tables, and run SELECT queries through natural language. Built with .NET 10.
    Last updated
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    Python Docs MCP Server gives AI coding agents local access to the official Python standard library docs. It can look up docs by Python version, return specific sections, and keep answers compact for clients like Claude Desktop, Cursor, and Codex. It runs without API keys or a hosted service.
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    MIT
  • A
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    Query and manage PostgreSQL databases from Claude Code, Cursor, and any MCP client, with read-only by default and built-in schema introspection, EXPLAIN, and performance diagnostics.
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    MIT
  • A
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    A self-hostable PostgreSQL MCP server for exploring database schemas and running guarded read/write queries with selectable access modes (readonly, readwrite, admin), plus a dry-run confirm workflow for safety.
    Last updated
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    MIT
  • A
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    Provides PostgreSQL database management and analysis via MCP, enabling schema exploration, query execution, performance monitoring, and database health checks.
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    MIT
  • A
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    A comprehensive PostgreSQL MCP server providing 27 tools for database management and administration, including connection management, query execution, schema introspection, CRUD operations, and server monitoring.
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    AGPL 3.0
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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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