Databases

A comprehensive MCP server for VictoriaMetrics that enables querying metrics, analyzing TSDB cardinality, debugging relabeling rules, and searching embedded documentation directly within AI clients.

A standard interface for managing and querying MariaDB databases, supporting both standard SQL operations and advanced vector/embedding-based search.

A persistent memory storage server for AI clients that uses Cloudflare Workers and vector search to maintain user context and preferences across sessions.

A Python-based MCP server that enables natural language interaction with AutoCAD, allowing users to draw elements, manage layers, and analyze drawings via LLMs like Claude.

MCP (Model Context Protocol) Server. Provides a bridge between development environments and self-hosted Supabase instances for database introspection, migration management, and storage operations through direct RPC calls and database connections.

A sophisticated MCP server that integrates SAP BTP with LLMs, enabling natural language CRUD operations on SAP S/4HANA or ECC data via a progressive 3-level discovery architecture.

A high-performance graph and vector database compatible with Neo4j's Bolt/Cypher, featuring GPU-accelerated search, automatic relationship discovery, and cognitive memory tiering for AI agents.

A robust MCP server that bridges LLMs with multiple database types like PostgreSQL, MySQL, and BigQuery, offering schema normalization and SQL query execution.

An MCP server providing comprehensive access to Shodan's network intelligence and CVEDB for IP reconnaissance, DNS operations, device discovery, and vulnerability tracking.

MCP (Model Context Protocol) Server. Secure, read-only access to query and analyze SQLite databases.

A robust MySQL MCP server supporting real-time database operations via SSE, featuring granular security controls, SQL risk analysis, and database isolation levels.

A comprehensive MCP server for managing Coolify infrastructure, providing 34 token-optimized tools for application deployment, database management, and system diagnostics through AI assistants.

Heimdall provides a persistent, long-term cognitive memory for AI coding assistants by indexing git history and project documentation into a Qdrant vector database. It allows LLMs to recall architectural patterns, past solutions, and session lessons across different chat sessions.

An MCP server for auditing Java source code vulnerabilities using function-level taint analysis to trace data flow from sinks back to sources and extract relevant code paths.

A robust Model Context Protocol server that enables AI assistants to manage PocketBase databases through schema manipulation, CRUD operations, user authentication, and database backups.

A collection of Model Context Protocol (MCP) servers for the OceanBase ecosystem, enabling AI assistants to manage databases, cloud platforms, and diagnostic tools.

Daymon puts your favorite AI to work 24/7. It schedules, remembers, and orchestrates your own virtual team. Free.

An MCP server that integrates with the Metabase API, allowing AI assistants to query dashboards, execute SQL, and retrieve structured business intelligence data.

A blockchain data extraction and analysis server that interfaces with Cryo and DuckDB to provide efficient SQL querying of Ethereum on-chain datasets.

A secure Model Context Protocol server that allows LLMs to execute code and scripts across multiple programming languages and network tools within isolated Docker containers.

A robust MCP server that provides a secure bridge for AI to interact with multiple database types (SQLite, MySQL, PostgreSQL) through read-only tools for schema analysis, querying, and performance monitoring.

A high-performance MCP server that enables AI assistants to interact with Trino databases, offering tools for executing SQL queries, exploring catalogs, and inspecting schemas.

A PubMed integration for MCP that enables searching and fetching from over 35 million biomedical citations and life science journals. It provides a bridge to the MEDLINE database via the pubmedclient library.

A robust memory system integration for AI agents that enables persistent long-term memory across sessions using Mem0, supporting cloud, Supabase, and local storage options.

A documentation-search MCP server that indexes Google Gemini API docs into a local SQLite database, offering full-text search and specific model/capability retrieval for developers.

MCP (Model Context Protocol) Server. Command and control framework that enables secure remote system administration through a Python server and PowerShell client, maintaining task tracking in SQLite for efficient execution and reporting.

A comprehensive all-in-one workspace MCP server that provides secure file system access, sandboxed code execution (Python/Node.js), Excel processing, and one-click web deployment with multi-tenant isolation.

A versatile GraphRAG MCP server that integrates with 13 data sources and multiple vector/graph databases to provide hybrid search and AI-powered document intelligence.

A specialized MCP server designed to assist LLMs in generating and executing accurate SPARQL queries for biological knowledge graphs using RAG and metadata validation.

A robust SQL database connector for MCP clients that enables natural language querying, data visualization, and structured business intelligence workflows across multiple database engines.