#postgresql

Read-only database access with schema inspection

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MCP Deep Research Server using Gemini creating a Research AI Agent

MCP server for interacting with a PostgreSQL products database.

A Model Context Protocol server that provides read-only access to PostgreSQL databases with enhanced multi-schema support.

AI data intelligence platform that brings your data warehouse, dashboards, monitoring, and accumulated business knowledge into any MCP client. Connects to BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Redshift, Databricks, SQL Server, and Azure Synapse.

AI-Ready Data & Context Engineering API. Connect any data source — PostgreSQL, CRMs, APIs — and get clean, structured, AI-ready data in seconds. Natural language queries, semantic vector search, automated PII redaction, deduplication, and AI-powered context building for RAG pipelines. 25 free credits on signup.

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Persistent memory MCP for AI agents — Knowledge graph + Hebbian learning + Anti-hallucination. 12 tools, 1 dependency, zero manual setup.

FastMCP Based MCP Server to Control Postgres

MCP Server for Postgres with both Read and Write capabilities.

Co-create schemas with your AI — typed fields, relationships, SQL-like constraints. Turn unstructured content into a curated database built for insights. Platform integrations such as PostHog and Microsoft built-in and expanding. Any HTTP API via OpenAPI import. One MCP connection gives your agent full CRUD, semantic search, and a structured knowledge base that grows correctly over time.

MCP Server to manage PostGress and SQLite. In fact, you could use any Database Engine

This read-only MCP Server allows you to connect to PostgreSQL data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at

🔧 A powerful tool server based on the Model Context Protocol (MCP), enabling interaction with PostgreSQL databases via MCP calls.

MCP Server (STDIO) for PostgreSQL Database

A template for how to build an MCP server

Real-time PostgreSQL & Supabase database schema access for AI-IDEs via Model Context Protocol. Provides live database context to AI assistants through secure SSE connections, enabling smarter code generation with always up-to-date schema information. Features three powerful tools: get_schema, analyze_database, and check_schema_alignment.

Universal MCP-Server for your Databases optimized for LLMs and AI-Agents.

An MCP server implementation for YugabyteDB that allows LLMs to directly interact with your database.

db-query-mcp is a mcp tool supporting diverse database querying and exporting.

A universal multi-cloud data MCP Server supporting over 30 types of data source connections, providing secure, cross-source data access in a single platform.
Supports full range of Alibaba Cloud services and Mainstream databases/data warehouses.

1 MCP server, 13 databases, zero config. Connect AI agents to PostgreSQL, MySQL, MongoDB, SQLite, Oracle, SQL Server, DB2, SAP HANA, MariaDB, CockroachDB, Cloud Spanner, HSQLDB, Sybase. 15 tools per entity + 4 AI prompts. Auth + RBAC included. 11 transports: REST, GraphQL, gRPC, WebSocket, SSE, tRPC, MCP, OData, Arrow Flight, JSON-RPC, NATS.

MCP server for enabling persistent knowledge storage for Claude through a knowledge graph with multiple storage backends and fuzzy search

The pgEdge Postgres Model Context Protocol (MCP) server enables SQL queries against PostgreSQL databases through MCP-compatible clients like Claude Desktop. The Natural Language Agent provides supporting functionality that allows you to use natural language to form SQL queries.

A Model Context Protocol (MCP) server for Querysharp app, enabling AI assistants to help you analyze and optimize your PostgreSQL database performance directly from your code editor.

A universal multi-cloud data MCP Server supporting over 30 types of data source connections, providing secure, cross-source data access in a single platform.
Supports full range of Alibaba Cloud services and Mainstream databases/data warehouses.

AI-optimized PostgreSQL expertise for coding assistants. pg-aiguide helps AI coding tools write dramatically better PostgreSQL code. It provides: - Semantic search across the official PostgreSQL manual (version-aware) - AI-optimized “skills” available through MCP tools — curated, opinionated Postgres best practices used automatically by AI agents - Extension ecosystem docs, starting with TimescaleDB, with more coming soon

MCP server for getting schema information from a PostgreSQL database