"Information on PostgreSQL Database Management System" matching MCP servers:

Read-only MCP server for observing Linux hosts (systemd, ZFS, Docker, VMs, network, hardware, NixOS) as a graph of objects with provenance. Provides seven tools to list hosts, get status, collections, objects, evidence, lookup, and changes.

The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.

Enables AI assistants to manage tasks, projects, and dependencies through MCP protocol with embedded Web UI, multi-workspace support, and Turkish language capabilities for productivity tracking.

Enables AI agents to create, manage, and track tasks within plans using Valkey as the persistence layer. Supports plan and task management with Markdown notes, status tracking, and prioritization through multiple transport protocols (SSE, Streamable HTTP, STDIO).

Connect AI agents like Claude, Cursor, and Gemini to historical Windows performance and privacy data gathered by the AppControl Windows app. This server enables natural language queries into CPU, GPU, and temperature history alongside system security events for deep local auditing.

MCP server for GLEIF LEI (Legal Entity Identifier) database access. Look up, validate, and search legal entities and their relationships in the global LEI system.

A Linux system monitoring MCP server that provides real-time information on CPU, memory, disk, network, processes, Docker, security, and more via MCP tools.

Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.

All-in-one homelab management MCP server. Docker monitoring, volume backup/restore (with compose and env files), Wake-on-LAN, network scanning, and multi-server SSH management.

Lightweight content management system for websites, built for the AI era

WhoDB CLI - a powerful database management tool with interactive TUI, programmatic commands, and MCP server for AI assistants.

Enables AI assistants to manage and query Tiger Cloud database services, including service lifecycle operations, database connections, and SQL execution.

Enables SQL queries against PostgreSQL databases through MCP-compatible clients and includes a natural language agent for forming SQL queries from natural language.

Enables AI tools to query a PostgreSQL database, read its schema, list and describe tables, and explain queries while enforcing read-only transactions, row and byte limits, and timeouts.

A governed SQL gateway for untrusted AI agents, providing controlled access to PostgreSQL, MySQL, and OceanBase with RBAC, field ACLs, row policies, and cost controls.

Enables AI assistants to control Pi-hole DNS filtering, including domain management, query analysis, and system administration, with support for multiple Pi-hole instances and synchronization.

Enables AI assistants to explore a PostgreSQL database, run bounded read-only SQL, inspect query plans, test hypothetical indexes, find slow queries, and check database health with compact CSV output.

Enables AI agents to read and edit entity-relationship diagrams and SQL database schemas on the liz-whiteboard collaborative whiteboard through natural language, supporting table, column, and relationship management.

MCP-Server from your Database optimized for LLMs and AI-Agents. Supports PostgreSQL, MySQL, ClickHouse, Snowflake, MSSQL, BigQuery, Oracle Database, SQLite, ElasticSearch, DuckDB

Read-only PostgreSQL ops/DBA server for the Model Context Protocol, providing diagnostics like slow queries, index health, lock waits, replication lag, and configuration tuning advice.

An MCP server for TrueNAS SCALE that enables read-first management of storage, system, sharing, and virtualization resources with per-user API key authentication, and optional write operations.

Connect any AI client to the CaBrain memory system via MCP, exposing tools for memory recall, retain, and brain management.

Provides AI assistants with persistent graph database memory using Neo4j, enabling task management, relationship understanding, semantic search with embeddings, file indexing, and multi-agent coordination through the Model Context Protocol.

Guard AI agents' PostgreSQL/MySQL access via MCP: SQL audit, auth, masking, write approval

🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.

Gives AI coding assistants, IDEs, and CI full PostgreSQL schema intelligence from an offline snapshot, enabling linting, query validation, migration safety analysis, and foreign key graph exploration without ever exposing database credentials.

Taskschmiede is an agent-first work management system where humans and AI agents are equal participants. They can own tasks, create demands, collaborate in shared endeavours, and communicate through built-in messaging.

Orchestrates distributed research drones on Google Cloud Run, enabling scalable and bidirectional research task management.

Turn a PowerLab homelab/enterprise host into a structured, agent-driven surface for catalog browsing, app management, system observability, and compose-yaml authoring.

Enables agents to review PostgreSQL EXPLAIN plans and compare before-and-after plans, ranking likely performance problems and suggested fixes without connecting to a database.