A
license-
qualityC
maintenanceZero-config PostgreSQL MCP server with auto-provisioning. Drop-in replacement for @modelcontextprotocol/server-postgres — no DATABASE_URL needed.
839
MIT
72,166 servers. Updated
Search Relevance ↓
Recent Usage ↓
Date Added ↓
Date Updated ↓
Weekly Downloads ↓
GitHub Stars ↓
Recent GitHub Stars ↓
Matching MCP tools:
Matching MCP Connectors:
app.zaklad
com.onrender.mcp-x402-paywall
com.100levelup.api
com.globaldatabase.mcp
"Information about PostgreSQL (Postgres) database system" matching MCP servers:
- Alicense-qualityAmaintenanceEnables secure, AI-driven PostgreSQL database administration, observability, and querying with support for extensions like PostGIS and pgvector, connection pooling, and advanced tool filtering.5712MIT
- Flicense-qualityDmaintenanceAn MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.
- AlicenseBqualityAmaintenanceA production-grade Model Context Protocol server for PostgreSQL. Lets AI agents safely inspect, query, operate, and tune a Postgres database — over 100 tools spanning catalog introspection, query intelligence, natural-language SQL, structural diffs, hybrid search, graph queries, data movement, live ops, and more.1008MIT
- AlicenseBqualityBmaintenanceA flexible memory system for AI applications that supports multiple LLM providers and can be used either as an MCP server or as a direct library integration, enabling autonomous memory management without explicit commands.389100MIT
- Flicense-qualityDmaintenanceA Retrieval-Augmented Generation system that enables uploading, processing, and semantic search of PDF documents using vector embeddings and FAISS indexing for context-aware question answering.
Baidu Vector Database MCPofficial
AlicenseBqualityDmaintenanceA server that provides access to Baidu Cloud Vector Database functionality through the Model Context Protocol, enabling LLM applications to perform vector searches and database operations via natural language.143Apache 2.0- Flicense-qualityDmaintenanceEnables semantic code search across multi-language codebases using natural language queries, integrated with Qdrant vector database for fast, cached retrieval.1
- Alicense-qualityBmaintenanceAgentic RAG Knowledge Assistant is a secure, tenant-isolated MCP server built with FastAPI, PostgreSQL, and pgvector that enables document ingestion, semantic retrieval, and vector search over PDF, DOCX, and text files through authenticated MCP tools.MIT
- Alicense-qualityDmaintenanceA vector search system that enables semantic retrieval of document chunks using MongoDB Atlas Vector Search and Voyage AI embeddings, allowing users to search documents by meaning rather than just keywords.2MIT
- Alicense-qualityDmaintenanceEnables persistent memory and semantic search for development workflows with hierarchical compression. Store and retrieve development knowledge across IDE sessions using natural language queries, circumventing context window limitations.2AGPL 3.0
- Flicense-qualityDmaintenanceAn MCP-compatible RAG backend using LangGraph and FastAPI, enabling chaining of AI model logic with document context search.1
- Flicense-qualityCmaintenanceAn MCP server that analyzes Python codebases using AST, stores code elements in a vector database, and enables natural language queries about code structure and functionality using RAG with Google's Gemini models.5
- -license-quality-maintenanceEnables AI assistants to store and retrieve long-term memories using PostgreSQL with vector similarity search. Supports semantic memory operations, tagging, and real-time updates for persistent learning across conversations.
- Flicense-qualityDmaintenanceEnables AI assistants to search and query PDF documents through a local RAG system with vector embeddings. Provides semantic document search capabilities while keeping all data stored locally without external dependencies.
- Flicense-qualityDmaintenanceEnables semantic search and natural language product recommendations using ChromaDB vector store and Azure OpenAI embeddings. Supports multi-filter search by category, brand, and price with 8 specialized MCP methods for intelligent product discovery.
- Flicense-qualityDmaintenanceEnables AI systems to remember interactions, understand document context through semantic search, and intelligently route requests with persistent memory and quality-scored content synthesis.
- Alicense-qualityDmaintenanceEnables semantic search and management of Zotero reference libraries using PostgreSQL with pg-vector and OpenAI/Ollama embeddings. Provides AI-powered search, full-text extraction, metadata access, annotations, notes, tags, and collections management.3MIT
- AlicenseAqualityAmaintenanceMCP server exposing memory search, index, and stats tools for agents, with honesty guards to prevent re-litigation of settled decisions.53Apache 2.0
Tribalofficial
FlicenseAqualityAmaintenanceSemantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.109
