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20 Best PostgreSQL MCP Servers: compared and ranked, September 2026Ranked from 1,150 matching servers on stars, growth, downloads and maintenance. Updated .

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    Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.
    1
    GPL 3.0
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    A Model Context Protocol (MCP) Server that allows AI models to securely interact with data hosted in Azure Database for PostgreSQL. It enables natural language querying, schema exploration, and data management through MCP clients like Claude Desktop and Visual Studio Code.
    MIT
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    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
    40
    1
    Apache 2.0
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    Enables interaction with PostgreSQL databases through a production-ready MCP server with global connection pooling, automatic AWS password rotation, and comprehensive SQL operations. Supports multiple concurrent Claude sessions while maintaining efficient connection limits to the database.
    Apache 2.0
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    A Model Context Protocol server deployed on Cloudflare Workers that enables interaction with PostgreSQL databases. It allows AI clients like Claude and Cursor to execute database operations via a remote SSE connection.
    17
    ISC
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    A production-ready MCP server that enables users to interact with PostgreSQL databases via natural language on Cloudflare Workers. It features GitHub OAuth for role-based access control, allowing for secure schema discovery, data querying, and write operations.
    MIT
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    Enables secure, read-only querying of Google BigQuery datasets through a stateless MCP server with OAuth 2.1 authorization, designed for integration with Atlassian Rovo.
    MIT
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    An MCP server that gives an AI agent controlled access to a Selectel cloud account: OpenStack cloud servers, S3 object storage, and account billing.
    1
    MIT
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    Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.
    MIT