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.
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 server implementing the Model Context Protocol (MCP) for Cursor that allows using a PostgreSQL database as storage for model contexts, enabling secure database exploration and querying.
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.
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.
Enables AI agents to execute SQL queries and introspect PostgreSQL schemas, tables, and indexes with read-only safety by default. Supports optional write operations and works with Claude, LangChain, and other agents via stdio or HTTP transports.
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.
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.
Provides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.
Enables querying and modifying PostgreSQL databases through MCP tools with read/write operations, schema inspection, and write-safety constraints that limit modifications to the mcp schema.
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.
An open-source MCP server that provides AI agents with advanced PostgreSQL capabilities including index tuning, query plan optimization, and comprehensive database health analysis. It supports safe SQL execution through configurable access modes and offers both stdio and SSE transport options for various development environments.
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.
A server that provides a persistent Python REPL environment through the MCP protocol, allowing execution of Python code, variable management, and package installation.
A Model Context Protocol server that extracts and analyzes Python code structures, focusing on import/export relationships between files to help LLMs understand code context.
A demonstration server showing MCP implementation in Python with resource handling, tool operations, and reusable prompts for a simple user/post system with local database.
Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.
A demonstration MCP server built with fastmcp that provides basic utility tools including number addition and greeting functionality. Integrates with Gemini CLI to enable natural language interaction with simple mathematical and greeting operations.
A comprehensive MCP implementation designed for fullstack development that enables code manipulation, terminal command execution, and system notifications. It provides an intelligent agent interface powered by Gemini to automate Python and Next.js development workflows.
A streamlined foundation for building Model Context Protocol servers in Python, designed to make AI-assisted development of MCP tools easier and more efficient.
MCP server with 14 tools for PostgreSQL database operations. Query databases, explore schemas, analyze tables, with SQL injection prevention and read-only mode by default.
Enables access to Australian real estate data through the Realty In Au API, supporting property listings, agent/agency information, property details, school lookups, and property search with various filters.
Enables AI assistants to safely explore, analyze, and maintain PostgreSQL databases with read-only mode by default, SQL injection prevention, query performance analysis, and optional write operations.
A Python-based MCP server that enables users to interact with the esa.io API for documentation management. It provides tools for retrieving user information and performing full CRUD operations on articles.
Enables users to access the Realty In Ca1 API to search for residential and commercial property listings, view detailed property information, and retrieve neighborhood demographics or statistics. It supports filtering by geographic location, price range, building type, and other real estate characteristics.
Enables secure execution of Python code in a sandboxed WebAssembly environment using Pyodide and Deno. Automatically handles package management and captures complete execution results including stdout, stderr, and return values.
Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.
A Model Context Protocol server focused on China's A-share stock market that provides data on stocks, financials, market indices, and macroeconomic indicators.
A Model Context Protocol server that allows LLMs to interact with Python environments, execute code, and manage files within a specified working directory.
Enables comprehensive PostgreSQL database management including index tuning, query plan analysis, health monitoring, schema-aware SQL generation, and safe SQL execution with configurable access control for both development and production environments.
A Python server that enables interaction with macOS native applications (Contacts, Notes, Mail, Messages, Reminders, Calendar, and Maps) through AppleScript, featuring asynchronous operations and type-safe interfaces.
A Python implementation of an MCP server for Xiaohongshu that enables AI models to browse feeds, search content, and manage interactions like liking or commenting. It leverages Playwright for browser automation to support account management and content publishing features.
Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.
A Python-powered Model Context Protocol server that provides safe database inspection and read-only querying capabilities for MySQL databases. Enables LLM agents to explore database schemas, execute read-only SQL queries, and retrieve metadata through JSON-RPC communication.
A Model Context Protocol server that allows LLMs to interact with Python environments, enabling code execution, file operations, package management, and development workflows.
Enables execution of Python code in a safe environment, including running scripts, installing packages, and retrieving variable values. Supports file operations and package management through pip.
A starter template for building MCP servers in Python using the streamable HTTP transport protocol. Provides a foundation with the MCP Python SDK and example configuration to quickly develop custom MCP servers.
A Machine Comprehension Protocol server that enables AI assistants to interact with Kestra workflows through natural language, supporting operations like flow management, executions, backfills, and other Kestra features.