"Using PostgreSQL with Docker" matching MCP servers:

An MCP server that provides safe, read-only access to a PostgreSQL warehouse, enabling schema introspection, guarded SQL queries, and truncated result reporting for LLMs.

MCP server for Hydra ETL: lets AI assistants write declarative YAML ETL pipelines (CSV, Parquet, PostgreSQL, MySQL, MongoDB, APIs) and validate them before any data is read or written.

This MCP server enables database migration between heterogeneous systems (Oracle, PostgreSQL, SQL Server, Netezza to PostgreSQL or SQL Server) through AI assistants by providing tools for command preview, execution, validation, and workflow suggestions.

Enables querying and mutating data across multiple sources (CSV, Google Sheets, SQLite, PostgreSQL, MySQL, MongoDB, Oracle) through a dynamic GraphQL API, with flexible filtering, batching, persisted queries, and dynamic source switching.

Enables unified access to both structured databases (PostgreSQL, MySQL, SQLite, etc.) and unstructured object storage (AWS S3, Alibaba OSS, Huawei OBS, etc.) through a single interface.

An MCP server that integrates with Hunter.io API to find and verify email addresses using domain and name information.

A server that connects to PostgreSQL databases and provides tools for safely exploring schemas, running read-only SQL queries, and performing data analysis with pre-built templates.

Enables interaction with Redash instances through a standardized interface, allowing users to execute SQL queries, manage data sources, and retrieve query results using natural language.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

A Model Context Protocol server that transforms text into structured JSON data using templates with placeholders.

Enables users to interact with Apache Airflow through MCP to monitor DAGs, inspect runs and logs, and diagnose task failures using natural language.

Investidor10 MCP Server: A Model Context Protocol (MCP) server for interacting with the Status Invest API. Provides tools for fetching stock data and indicators, with a layered architecture and data validation using Zod

Enables AI to analyze and transform data using fusion algorithms with statistical, machine learning, or hybrid methods. Provides seamless data format conversion and enhanced analytical capabilities through the Model Context Protocol.

MCP server that interfaces with the Adjust API, allowing you to query mobile analytics reports, metrics, and performance data using natural language from any MCP client like Cursor or Claude Desktop.

Provides access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey and OpenSearch services, enabling LLMs to build full stack solutions by interacting with the Aiven ecosystem.

Open-source agentic schema layer. Define metrics once in YAML, query governed data from any warehouse (Snowflake, BigQuery, Databricks, PostgreSQL, DuckDB) via MCP.

Read-only MCP server for FP&A & management reporting — governed metrics, financial statements and drill-down over a SQL semantic layer. Your own financials on your own warehouse, not market data. Open core of Précis. (metric engine · ClickHouse · OIDC · Docker)

Model Context Protocol server for wDVC that provides tools for architecting DVC pipelines, generating Docker worker commands, searching patterns, and scaffolding wDVC projects.

Enables AI agents to securely interact with multiple databases (MySQL, PostgreSQL) via natural language queries, with cross-database querying and enterprise-grade security.

Enables LLMs to query and manipulate JSON data from URLs using JSONPath expressions with array, string, numeric, date, and aggregation operations via standardized tools.