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

Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.

Enables CRUD operations on notes stored in PostgreSQL, with tools to list, create, update, delete notes and tags. The server provides both REST API and MCP endpoints via a single FastAPI process.

A Postgres MCP server with index tuning, explain plans, health checks, and safe SQL execution.

A Postgres MCP server with index tuning, explain plans, health checks, and safe SQL execution for AI agents.

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.

A Postgres MCP server with index tuning, explain plans, health checks, and safe sql execution.

Enables read-only, SELECT-only querying of any Postgres database through MCP-compatible clients like Claude, with schema introspection and guarded SQL execution.

A Python template for creating MCP servers with embedded documentation, featuring example weather service tools using the NWS API.

Persistent memory and pattern learning for AI coding assistants via MCP.

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.

A minimal MCP server template for Python with Streamable HTTP transport, bearer token authentication, and a hello tool, designed for deployment on Render.

A drop-in Model Context Protocol (MCP) server that lets an AI agent query PostgreSQL — read-only, enforced at the database level, with real SQL validation, timeouts, cost limits, OAuth 2.1, and an audit trail.

A production-grade MCP server providing a persistent Python REPL with multi-session support, sandboxing, and timeout protection, enabling LLM agents to execute Python code across multiple turns with variables that persist between calls.

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.

Enables AI agents to analyze, optimize, and safely interact with PostgreSQL databases, including health checks, index recommendations, query planning, and SQL execution with read-only and production protection modes.

Enables Claude to directly manage the Savage in a Suit website through 31 tools for pages, events, members, testimonials, podcast episodes, and site content, with all changes logged.

MCP server for PostgreSQL that enables schema exploration, safe SQL execution, EXPLAIN analysis, health checks, and index recommendations across multiple databases.

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.

A Model Context Protocol server that allows LLMs to interact with Python environments, execute code, and manage files within a specified working directory.

A full-featured secure MCP server for local file system operations, with built-in image processing, OCR and media tools. Fully compliant with the official Model Context Protocol specification, offering standardized request/response schemas, large-file streaming I/O, multi-transport remote deployment, and comprehensive text search & replace functionality for LLM agent integration.