"PostgreSQL" matching MCP servers:

Exposes PostgreSQL database operations as tools for AI assistants, allowing execution of SQL queries and inspection of database schema.

It connects an agent to a PostgreSQL database so it can inspect schemas, run validated reads and writes, resolve fuzzy names via trigram search, and perform or store pgvector embedding searches. Vector and hybrid search operate through an OpenAI-compatible embeddings endpoint, letting agents query by text without handling embedding arrays.

Enables natural language interaction with PostgreSQL databases, converting questions into safe, validated SQL queries and returning verified results.

Enables natural language interaction with PostgreSQL databases, converting questions to safe SQL queries and executing them with result validation.

MCP server enabling text-to-SQL on PostgreSQL databases using a CrewAI multi-agent system. It generates and executes read-only SQL queries from natural language, with security layers against prompt injection.

Enables read-only access to a PostgreSQL database, allowing users to inspect schema, generate SQL from natural language, and execute read-only queries via MCP.

Enables AI agents to persist, search, and query shared memories in PostgreSQL through hybrid retrieval, preset answers, and AI-to-AI consultation via MCP.

Enables Claude to discover PostgreSQL schemas and run validated, read-only analytical SQL across independent databases through MCP tools with bounded results.

MCP server that allows natural language queries in Portuguese to a PostgreSQL database using Ollama, ensuring read-only access with parameterized SQL and strict safety policies.

An advanced MCP server for reflective chain-of-thought with Semantic Plausibility Gating and DBOS PostgreSQL persistence.

A local-first MCP server that provides safe, governed read-only SQL access to SQLite and PostgreSQL, with validation, limits, task tracking, and report generation.

Enables inventory management through FastAPI with AI chat powered by Ollama, allowing natural language interaction with PostgreSQL data via MCP for clients like Claude Desktop and VS Code.

Enables users to ask plain-English questions against MySQL, PostgreSQL, SQLite, SQL Server, Oracle, and MariaDB databases by auto-detecting schemas and converting requests into safe, read-only SQL queries.

A generic MCP memory service that provides AI clients with long-term memory capabilities, including semantic search, categorization, and priority management. Supports both local JSON and cloud PostgreSQL storage.

Enables querying a PostgreSQL database using natural language by retrieving context from Azure AI Search and generating SQL with Azure OpenAI, with validation and optional execution.

Enables users to ingest documents into a PostgreSQL/pgvector knowledge base, run semantic search over them, and get grounded answers through a retrieval-augmented generation pipeline backed by a free LLM. It also lets clients spin up specialized AI agents on demand and exposes knowledge-base stats and configuration as resources for tutoring workflows.

About Self-hosted AI agent memory server with MCP, evidence provenance, typed claims, conflict detection, embeddings, recall, PostgreSQL, and Neo4j.

Durable memory MCP server for AI agents. Temporal knowledge graph with hybrid semantic + keyword retrieval, LLM-powered fact extraction, conflict detection, and consolidation. Backed by SQLite or PostgreSQL. 11 MCP tools, 6 LLM provider backends. Part of JamJet.

Enables MCP clients to run text chat, deep reasoning, vision analysis, and image generation through the xAI Grok API, alongside workspace file read/write/shell tools, web search, speech-to-text and text-to-speech, and background jobs with persistent conversation history in PostgreSQL. Supports both HTTP and stdio transports with per-tool model selection from the live xAI catalog.

Enables authorized clients to invoke tenant-aware conversational assistant tools and resources over MCP, including durable conversations, agent configuration, connector policies, and PostgreSQL-backed data.

Enables AI-driven hotel booking operations with 30+ MCP tools, hybrid database architecture (PostgreSQL, MongoDB, Redis), and live benchmarking to demonstrate performance improvements.

Enables natural language queries to PostgreSQL by converting questions to SQL using Google Gemini and executing via FastMCP.

Enables LLM agents to connect to and retrieve data from multiple database types through a unified API, including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift. It supports schema normalization and query transformation to make database access more compatible with natural-language workflows.

An AI database assistant that connects AI clients to a PostgreSQL database for schema exploration, safe querying, and LLM-powered SQL generation and reasoning.

An MCP server that transforms natural language questions into SQL, executes queries on PostgreSQL, and returns human-friendly responses, with Redis memory for context.

Enables natural language queries to PostgreSQL through an Ollama-powered agent, using MCP protocol to connect the backend to the database and a web interface.

Enables PostgreSQL querying and schema retrieval, NLP/LLM intent classification and SQL generation, tool-intent resolution, and file listing through MCP tools.

Enables LLM agents to connect to and retrieve data from a wide range of databases — including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift — through a single unified API. It also normalizes schemas for LLM compatibility, optimizes generated queries, and transforms them back into their original form for execution.

Enables AI assistants to query relational databases like MySQL, PostgreSQL, and Oracle using natural-language questions, dynamically discovering schemas and generating validated read-only SQL through configurable AI providers such as Groq, Claude, and Gemini.

Enables natural-language queries to orchestrate multiple AI agents, connect to MCP tools, and retrieve structured data from PostgreSQL for tasks like salary and company analysis.