Database

Unofficial MCP Server of Trenitalia, built using viaggiatreno and NeTex Database crosschek

by Fanfulla

Model Context Protocol for WinDBG

by svnscha

MCP Workspace Server: A secure Model Context Protocol server providing file, git, and GitHub tools for AI assistants within a sandboxed project directory.

by MarcusJellinghaus

Multi Debugger MCP server that enables LLMs to interact with GDB and LLDB for binary debugging and analysis.

by smadi0x86

Integrates with FDA drug databases, WHO health indicators, RxNorm classifications, PubMed research, Google Scholar, and Australia's PBS to provide drug information lookup, health data queries, academic research retrieval, and pharmaceutical pricing analysis for medical research and clinical decision support.

A collection of MCP tools for AI agents to interact with major biomedical databases

by pascalwhoop

Integrates with MySQL hospital databases to enable natural language querying in Chinese, converting questions into SQL queries through intelligent schema mapping and organizing tables into semantic categories for medical data analysis and healthcare information system integration.

Accelerates Medium article research by extracting article links from archive pages, scraping full content for summarization, and maintaining a persistent local database of article summaries with metadata for efficient content discovery and organization.

Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.

by 0xK3vin

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

by meilisearch

Provides autonomous memory capabilities for storing, retrieving, and utilizing conversation information across sessions, with automatic extraction and categorization of user data for enhanced contextual interactions.

by pinkpixel-dev

Memento MCP: A Knowledge Graph Memory System for LLMs

by gannonh

Tiered memory MCP server for Claude and AI agents — FTS5 search, dedup, export/import, auto-snapshot

by origfuture

Provides persistent memory storage for assistants to create and retrieve memories with filtering options by app name, category, and result limits through a SQLite database with automatic setup.

Provides persistent memory storage with semantic search capabilities through PostgreSQL and pgvector, enabling long-term context retention across sessions with vector-based storage, relationship tracking, and asynchronous metadata processing.

Ultra-light memory system with hybrid BM25 and vector search, HNSW indexing, Late Chunking, and TTL support using SQLite with no external dependencies.

Updated 9-16-25 Fixed EV issues Connections should be solid! v3.1.0 GREAT NEWS: The server will now work for everyone - Railway users, Heroku users, Render users, etc.! ***ONLY ADD EVS that APPLY TO YOUR OWN INSTANCES - Leave Blank if unused - :) Update 9-15-25 v3.0 fixed semantic search temporal tool: Add this at the beginning of n8n workflows to give temporal context UPDATED 9/1/2025! NEW TOOLS! Use the Redis Stream tools with n8n MCP Client Node for use anywhere! The Ultimate Context Intelligence Engine Transform your AI into a memory master with lightning-fast recall and semantic superpowers. MemoryForge AI is the most advanced context management system ever built for AI assistants. Combining blazing-fast Redis caching, rock-solid PostgreSQL persistence, and cutting-edge Qdrant vector search, it gives your AI perfect memory that never forgets and always finds exactly what you need. ⚡ Why MemoryForge Dominates: 🚀 Sub-millisecond Context Retrieval - Redis-powered cache makes your AI respond instantly 🎯 Semantic Memory Search - Find related information even when you can't remember exact words 💎 Bulletproof Persistence - PostgreSQL ensures your context survives forever 🔄 Real-time Sync - Pub/sub notifications keep everything perfectly synchronized 🧬 Auto-Embedding Magic - Automatically converts text into searchable vector embeddings 🎭 Multi-Session Mastery - Juggle unlimited parallel conversations and contexts 🎪 Perfect For: Conversation Continuity - Never lose track of what you were discussing Document Intelligence - Instantly find relevant emails, notes, and files Project Memory - Maintain context across complex, long-term projects Knowledge Synthesis - Connect related ideas from different conversations Personal AI Assistant - Build an AI that truly knows and remembers you Stop fighting with forgetful AI. Start building with MemoryForge - where every conversation builds on the last, and every search finds exactly what matters. Your AI's memory just got a PhD in remembering everything that matters.

High-performance Go implementation of persistent memory storage using libSQL with vector search capabilities, managing knowledge graphs through entities, observations, and relations with multi-project support and compatibility with both local SQLite files and remote libSQL servers like Turso.

Provides SQLite-based persistent memory storage for maintaining context across conversations, enabling long-term recall and knowledge management.

Provides long-term memory capabilities using PostgreSQL with pgvector for efficient semantic search across stored memories, enabling tagging, confidence scoring, and filtering for maintaining context across conversations.

Embedded memory for AI agents with SQLite, pgvector semantic search, and Neo4j graph traversal fused via Reciprocal Rank Fusion.

by bolnet

Integrates with Metabase business intelligence platform to enable database querying, dashboard management, report generation, and administrative tasks through natural language interactions with support for both MBQL and native SQL execution.

Enable AI assistants to seamlessly interact with your Metabase analytics platform. Access dashboards, cards, databases, and execute queries directly through conversational AI. Manage and manipulate your analytics data with ease and security using API key or session authentication.

Metabase MCP server provides integration with the Metabase API, enabling LLM with MCP capabilites to directly interact with your analytics data, this server acts as a bridge between your analytics platform and conversational AI.

by hluaguo

Securely integrates with Microsoft SQL Server databases for data analysis, reporting, and management.

by RichardHan