A production-ready MCP server that exposes PostgreSQL databases via the Model Context Protocol Below are 30 infrastructure & backend apps with similar functionality to mcp-postgres-server, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
django-mcp-sql is an open-source package that provides a secure, read-only PostgreSQL interface for LLM agents using the MCP protocol. It features defense-in-depth security and OAuth integration, making it suitable for developers building agent-based data access solutions.
sql-query-mcp is an open-source, read-only SQL MCP server supporting PostgreSQL and MySQL. It allows developers to query databases using the MCP protocol from the command line, facilitating integration with other MCP-compatible tools.
MCP (Model Context Protocol) server for pyscn Python code analyzer
sl-bigquery-mcp is an open-source Python package that implements a Model Context Protocol (MCP) server for accessing Google BigQuery. It allows developers to integrate BigQuery data access into their MCP-compatible workflows and tools. Suitable for developers needing programmatic BigQuery access.
sql-sop-mcp is an open-source Model Context Protocol server that exposes the sql-sop SQL linter to large language models via API. It enables developers to integrate SQL safety checks into LLM-powered workflows, supporting tools like Claude, Cursor, and ChatGPT.
MCP server for Link local agent memory — remember, recall, search, context, and graph traversal
MCP server that wraps the basecamp CLI.
plesk-mcp is an open-source MCP server that facilitates automation and orchestration of model context protocol workflows, particularly for hosting and AI infrastructure scenarios. It is designed for engineers integrating AI models into hosting platforms.
mcp-remlezrd is an open-source server implementing the Model Context Protocol (MCP) for AI agents. It allows developers to manage, exchange, and serve context for AI workflows, supporting integration with agent frameworks and research projects.
A MCP server which proxies requests to a remote MCP server over streamable HTTP or SSE.
Model Context Protocol (MCP) is an open-source framework that provides a standardized way for AI models to communicate with external tools and services. It enables developers to build AI applications that integrate with multiple LLM providers using a unified protocol, simplifying tool integration and interoperability.
AI cross-context synchronization layer — shared knowledge base MCP server for Claude Code, Copilot, and Codex
Agent-neutral MCP server — SQLite store, Postgres knowledge base, Kart task queue
dbt-mcp is an open-source Model Context Protocol (MCP) server that enables interaction with dbt resources for analytics and AI agent workflows. It is designed for data engineers and developers building data pipelines and analytics solutions.
pythonanywhere-mcp-server is an open-source Python package that implements a Model Context Protocol (MCP) server, allowing developers to orchestrate and manage AI models in Python environments. It is designed for AI developers and researchers who need a standardized protocol server for model integration and orchestration. The package is MIT licensed and can be self-hosted via the command line.
msmcp-azure is an open-source server for Azure that implements the Model Context Protocol (MCP), enabling structured management and orchestration of AI model contexts. It is designed for AI infrastructure engineers deploying and managing models on Azure.
Simple MCP Client to quickly test and explore MCP servers from the command line
MCP server that exposes a Telegram bot
alpacon-mcp is an open-source Python package that enables AI-powered server management and integrates the Model Context Protocol (MCP) for seamless connection with AI tools like Claude and Cursor. It is designed for developers and infrastructure engineers seeking to automate and monitor server operations using modern AI integrations.
A production-grade Model Context Protocol (MCP) server for Wireshark
Reconnaissance and known-issue scanner for Model Context Protocol (MCP) servers
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
Turn any MCP server or OpenAPI spec into a CLI
Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections
MCP server for Sentinel QA — manage test cases from any AI assistant
Lookup MCP servers in the official MCP Registry by name or URL.
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
The package manager for MCP servers — install and configure in one command.
Test your MCP server like you test an API — declarative YAML, CI-ready, zero boilerplate.
Agent-feels-local SSH orchestration MCP server — persistent bash, hash-protected editing, SFTP, tunnels, multi-host orchestration over AsyncSSH
