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"How to perform SELECT queries in PostgreSQL" matching MCP servers:

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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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    Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.
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    MIT
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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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    A read-only MCP server for Microsoft SQL Server that allows running SELECT queries and analyzing query performance with statistics.
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    Read-only MCP server for searching migrated Papertrail logs via SolarWinds Observability API. Provides tools to list environments and perform bearer-authenticated log queries through stdio.
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    MCP server that integrates with Sumo Logic's API to perform log searches, data discovery, metrics queries, and monitoring.
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    Provides access to Google Search Console to retrieve and analyze search performance data including queries, pages, and rankings. It enables users to perform rich data analysis through customizable reporting periods and dimensions using the Search Console API.
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    MIT
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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 GCP-hosted MCP server for Google Analytics GA4 where each user logs in with their own Google account and queries are scoped to that user's permissions.
    Apache 2.0
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    Wraps Microsoft PIX's pixtool.exe to enable LLMs to launch and attach to D3D12 processes, capture GPU traces, and perform fine-grained queries (e.g., root parameter bindings at specific events) without manual CSV dumps.
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    Monitors Notion databases in real-time to detect project risks, such as delayed engineering tasks overlapping with marketing campaign launches. It automatically generates alerts in a Notion Alert Center and allows users to perform on-demand risk analysis through Claude.
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    Enables Claude Desktop to connect directly to Elasticsearch clusters for intelligent log analysis through natural language queries. Users can ask questions about their logs in plain English and get actionable insights without writing complex Elasticsearch queries.
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    In-cluster MCP server for read-only diagnostics of Grafana, Prometheus, Alertmanager, and Loki, enabling metric queries, alert listings, and log queries through Grafana datasource proxies with Kubernetes RBAC authentication.
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    Enables AI assistants to execute PromQL queries and discover metrics within AWS Managed Prometheus (AMP) using SigV4 authentication. It provides tools for instant and range queries, label management, and metric discovery in secure, VPC-isolated environments.