Databases

A specialized Elasticsearch MCP server fork optimized for VSee's stats-* indices, providing advanced analytics tools for tracking visit trends, platform breakdowns, and account performance metrics.

MCP (Model Context Protocol) Server. Enables direct interaction with MongoDB databases for querying, modifying, and managing collections, documents, and indexes using MongoDB's native query syntax.

An MCP server that allows AI assistants like Claude, Windsurf, and Cursor to connect to Microsoft SQL Server databases for natural language querying and data analysis.

AutoBot MCP enables remote control and automation of Android devices, supporting UI interactions, app management, ADB commands, and system operations through the Model Context Protocol.

Enables asynchronous task execution and scheduling using RabbitMQ, Celery, and Redis/SQLite. Supports immediate background task execution, scheduled tasks with ISO 8601 timestamps, task status monitoring, cancellation, and completion notifications.

A Neo4j-powered memory server that uses the Graphiti framework to store episodes, extract entities, and query knowledge graphs using natural language.

A gateway MCP server that acts as a single entry point for multiple backend servers, intelligently routing requests to bypass tool limits and manage multiple services like GitHub and databases through a single interface.

A community built MCP server that interacts with TigerGraph Graph Database.

A high-performance persistent context storage server for LLM agents that supports multimodal data, thread-based scoping, and advanced hybrid search capabilities including semantic and full-text search.

MCP (Model Context Protocol) Server. Web-based interface for connecting Claude to MySQL databases with granular permission controls

An ultra-high-performance MSSQL database connector for MCP, powered by Bun for near-instant startup times and native TypeScript execution.

A robust MCP server that enables AI assistants to perform full Lucene searches on NRTSearch indexes, supporting complex Boolean, range, and fuzzy queries with match highlighting.

MCP (Model Context Protocol) Server. Enables AI systems to explore and understand graph structures in Raphtory databases through GraphQL schema queries, property relationship analysis, and detailed information retrieval for effective query construction.

A read-only Model Context Protocol server for Snowflake that enables SQL querying, schema exploration, and dynamic tracking of data insights.

An MCP server that enables AI assistants to explore SQLite databases by listing tables, inspecting schemas, and executing SQL queries.

A toolset for academic research that enables precision PubMed searches, MeSH term lookup, and structured PICO-based evidence synthesis.

MCP (Model Context Protocol) Server. Enables AI assistants to execute n8n workflows directly via WebSocket, creating a bridge between conversation context and n8n's workflow engine in a sandboxed environment.

MCP server for memory management with long-term and short-term memory capabilities using local database

An enterprise-grade MCP server for Microsoft SQL Server that enables AI assistants to securely query data, inspect schemas, and manage MSSQL databases with built-in connection pooling and read/write safety controls.

A comprehensive MCP server providing over 200 tools to manage CyberPanel hosting environments, including website, database, email, DNS, SSL, and Docker management.

An MCP server for SuperDB (the successor to zq/Brim Data) that provides AI assistants with tools for executing SuperSQL queries, managing database pools, and accessing expert documentation and LSP-powered code intelligence.

A robust MCP server that exposes Retrieval-Augmented Generation (RAG) capabilities, allowing AI assistants like Claude to index, search, and query documents stored in ChromaDB.

A production-ready MCP server providing secure, read-only access to Microsoft SQL Server using Windows Authentication. It features extensive schema exploration tools and security filters to safely grant AI assistants access to enterprise databases.

A sophisticated Retrieval-Augmented Generation (RAG) server that integrates Google AI Studio with Qdrant to provide hierarchical document chunking, semantic vector search, and code indexing via MCP.

A robust MCP server that enables AI assistants to perform data analysis by executing SQL queries against AWS Athena databases, managing long-running queries, and accessing saved named queries.

A comprehensive MCP demo suite consisting of four specialized servers (Calculator, Database, API, and File System) along with a web-based educational UI for exploring the Model Context Protocol.

A local RAG system that combines a vector database with Playwright-based web scraping to create searchable knowledge bases for Claude.

A local fitness tracking server that provides comprehensive tools for logging and querying workouts, nutrition, and body composition metrics using a SQLite database. It supports granular exercise sets tracking, daily nutrition snapshots with meal-level detail, and body weight/skinfold history.

A specialized MCP server for Oracle Databases that optimizes AI context by managing large schemas through intelligent caching, multi-database support, and comprehensive metadata tools.

A comprehensive MCP server providing database-like operations over LanceDB with automatic BGE-M3 multilingual embedding generation for semantic search.