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"Free PostgreSQL Database Solutions" matching MCP servers:

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    Analyzes Microsoft Sentinel solutions from GitHub repositories to map data connectors to Log Analytics tables and query security content like detections and playbooks. It provides instant access to the official Content Hub or private repositories through a high-performance pre-built index.
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    MIT
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    Full-featured MCP server that exposes 36 tools for interacting with PostgreSQL databases, covering schema introspection, query execution, data exploration, performance monitoring, security auditing, and maintenance.
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    MIT
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    Enables comprehensive PostgreSQL database monitoring, analysis, and management through natural language queries. Provides performance insights, bloat analysis, vacuum monitoring, and intelligent maintenance recommendations across PostgreSQL versions 12-17.
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    MIT
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    An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.
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    MIT
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    An MCP server for tracking and managing AI command usage history using a PostgreSQL database. It enables users to log, search, and view statistics for various AI-related commands and their execution contexts.
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    An open-source MCP server for PostgreSQL that provides database health analysis, index tuning, query plan optimization, and safe SQL execution, suitable for both development and production environments.
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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.
    764
    MIT
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    A Model Context Protocol server that provides secure database access to PostgreSQL through Kysely ORM, enabling natural language interaction with PostgreSQL databases. It offers 40+ MCP tools for querying, schema inspection, diagnostics, and Java backend monitoring.
    ISC
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    Archived MCP server for PostgreSQL health monitoring; functionality merged into pg-dash.
    MIT
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    Enables AI assistants to analyze and optimize PostgreSQL database performance by identifying missing indexes and suggesting query rewrites. It allows users to retrieve database projects and implement performance fixes directly through natural language in their code editor.
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    A production-ready Model Context Protocol server built with FastAPI, featuring JWT authentication, PostgreSQL database support, Redis caching, and comprehensive health monitoring for building secure async API applications.
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    Enables AI agents to self-report bugs, ambiguities, and improvement requests via a single report_issue tool, logging to PostgreSQL or JSONL with severity and mode classification.
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    LGPL 3.0
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    DBeast MCP is a robust, security-first Model Context Protocol server designed to empower AI coding assistants (like Claude Desktop) with deep PostgreSQL database insights. Instead of just running basic SQL queries, DBeast equips your AI agent with tools to inspect active locks, audit slow queries, analyze table schemas, and safely generate index recommendations in real-time. Built specifically for
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    Honeypot threat intelligence for AI agents. Query 90 days of probe data from our sensor network: IP reputation, scanner classification, CVE probing trends, TLS/SSH/JA4 fingerprints. Free tier 500 credits/day, OAuth + bearer auth, streamable HTTP at https://mcp.honeylabs.net/mcp.
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    MIT
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    Enables AI agents to read and optionally write to PostgreSQL databases through a multi-project setup with schema inspection, query execution, and performance analysis tools.
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