"Information about PostgreSQL" matching MCP servers:

provides AI-powered PostgreSQL performance tuning capabilities.

Read-only MCP server that enables AI tools like Claude and Cursor to query the Avanti Fellows PostgreSQL database, providing schema inspection, data sampling, and SELECT query execution capabilities.

Enables comprehensive PostgreSQL database monitoring, analysis, and management through natural language queries. Provides performance insights, bloat analysis, vacuum monitoring, and intelligent maintenance recommendations across PostgreSQL versions 12-17.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.

Enables AI agents to inspect and query PostgreSQL databases safely, with features like listing tables, retrieving schemas, and running read-only SQL queries.

Enables safe read-only exploration and querying of a PostgreSQL database, listing tables and executing SELECT statements.

Allows to retrieve information about an AnnData object via MCP using the read_lazy function from anndata.

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

Enables searching and retrieving information about anime, manga, and related content via the Bangumi API.

Enables querying PostgreSQL database metadata including table lists and schema information through the MCP protocol. Supports stdio transport for Cursor/IDE integration as well as HTTP transport with health check endpoints.

Serves as a universal interface between AI Agents and AnalyticDB PostgreSQL databases, enabling metadata retrieval and SQL execution, with additional capabilities for knowledge graph and LLM memory management.

Enables natural language interaction with PostgreSQL databases through Amazon Q for querying data, listing tables, and describing schemas. It provides secure, read-only access with automatic row limits to ensure efficient database exploration.

Enables user name resolution and team management with PostgreSQL backend, providing fuzzy user lookup, batch operations, team hierarchy navigation, and calendar insights through natural language queries.

A Kubernetes management MCP server that provides interfaces for getting information about Kubernetes clusters, performing operations, monitoring status, and analyzing resources.

A Model Context Protocol server that enables connecting to PostgreSQL databases and executing queries, listing tables, retrieving schema, and obtaining database statistics through MCP tools.

Enables AI assistants to interact with PostgreSQL databases through MCP, supporting multi-database and schema access with security controls like read-only mode and SQL auditing.

A Python MCP server that enables schema discovery, read-only SQL queries, table previews, and index/relationship analysis on PostgreSQL databases.

Enables AI agents to architect and scaffold high-performance PostgreSQL-backed systems using the wpostgresql library, with tools for pattern search, connection validation, and project generation.

Enables AI assistants to securely interact with PostgreSQL databases, offering 30+ tools, role-based access control, and security guardrails.