Discover 89 MCPs built for PostgreSQL.
Integrates vector similarity search and storage directly into PostgreSQL.
Provides a high-performance database client library for Python's asyncio framework to interact with PostgreSQL.
Provides scalable, fast, and disk-friendly vector search capabilities directly within PostgreSQL.
Exposes PostgreSQL databases to AI agents via the Model Context Protocol, offering rich schema discovery and query capabilities.
Enables AI assistants to safely query any PostgreSQL database using natural language, returning structured SQL results.
Provides PostgreSQL database management capabilities, assisting with analysis, debugging, schema management, data migration, and monitoring.
Connects Large Language Models to PostgreSQL databases, enabling controlled querying and analysis.
Provides professional, read-only operations and monitoring for PostgreSQL databases, offering performance insights, structure visibility, and configuration details.
Empowers AI coding tools to generate robust, performant, and modern PostgreSQL code by providing deep, versioned expertise.
Enables AI agents to interact with PostgreSQL databases through a standardized Model Context Protocol (MCP).
Extends a PostgreSQL MCP server with functionalities to create, read, update, and delete database tables and entries, facilitating LLM interaction with databases.
Enables AI agents to discover, connect to, query, and understand PostgreSQL databases using the Model Context Protocol.
Provides HTTP and Stdio transports for interacting with PostgreSQL databases through the Model Context Protocol.
Empower Large Language Models with full read-write access to PostgreSQL databases, enabling both querying and modification of content with robust safety controls.
Provides PostgreSQL database management capabilities, assisting with analysis, guidance, and debugging.
Enables AI agents to interact with PostgreSQL databases through a standardized Model Context Protocol (MCP) interface.
Enables AI assistants to interact with a PostgreSQL database through the Model Context Protocol.
Facilitates executing SQL queries on PostgreSQL databases with configurable read-only or write access, providing structured results for MCP-compatible tools.
Enables LLMs to read, write, and manage schemas in PostgreSQL databases.
Enables execution of SQL queries on PostgreSQL databases via an MCP-compatible client with configurable read-only or write access.
Scroll for more results...