"database" matching MCP servers:

Automatically discovers database schema, performs data quality checks on tables and columns, and generates natural-language root cause analysis reports using Ollama LLM.

An MCP server that exposes a curated database of generative AI tools as four tools an AI assistant can query directly, enabling searches without relying on model knowledge.

QueryBridge is a local AI application that connects a MySQL database to an Ollama-powered language model through an MCP (Model Context Protocol) tool server. It lets you ask natural-language questions about your data while keeping database access structured, safe, and local.

Turns a tools.yaml contract into typed, tenant-guarded vector database tools that agents can use via Python imports or MCP.

Enables read-only access to a PostgreSQL database, allowing users to inspect schema, generate SQL from natural language, and execute read-only queries via MCP.

MCP server that allows natural language queries in Portuguese to a PostgreSQL database using Ollama, ensuring read-only access with parameterized SQL and strict safety policies.

Exposes tools and resources for interacting with Kinetica's database, SQL-GPT contexts, and real-time monitoring.

Manages SkySQL MariaDB database instances and enables interaction with AI-powered database agents through natural language.

Enables reverse engineering of database tables into Spring Boot projects with AI-enhanced naming and code generation, providing interactive visualizations and workflow orchestration.

It connects an agent to a PostgreSQL database so it can inspect schemas, run validated reads and writes, resolve fuzzy names via trigram search, and perform or store pgvector embedding searches. Vector and hybrid search operate through an OpenAI-compatible embeddings endpoint, letting agents query by text without handling embedding arrays.

Enables the management of AI-powered VibeKit apps, allowing users to control deployments, monitor logs, and perform database operations directly from MCP-compatible clients. It facilitates interaction with hosted AI agents and the execution of headless coding tasks through natural language.

An MCP server that connects AI assistants to a Neo4j graph database, enabling querying of movie data through tools like graph statistics, genre-based search, and movie details, along with advanced features such as LLM sampling and completions.

Enables e-commerce product management with CRUD operations, AI-powered descriptions, and MySQL database integration via MCP.

A comprehensive MCP server with over 50 tools across 7 categories including memory, AI/LLM, development, database, project management, cloud/deploy, and search/research.

Fraise is a memory database for AI agents. Agents can autonomously manage what's saved and retrieve memory with a simple query language

Provides tools to retrieve incidents from the AI Incident Database, including full incident details by ID, recent incidents, and classification taxonomies.

RailRouter Lite is a real, production-ready MCP server implementing the Model Context Protocol. It exposes one tool: route_payment. This tool intelligently routes payments to the optimal rail (Stripe MPP, Coinbase x402, or Google AP2) in real time, choosing based on cost, latency, and success rate. Every decision is logged to a Cloudflare D1 database, creating compounding routing intelligence

Provides semantic search capabilities using Qdrant vector database with multiple embedding providers, including hybrid search, code indexing, and git history search. Adds optional time-based recency scoring to search results.

A Model Context Protocol (MCP) server that coordinates AI agents to transform database tables into Wikipedia-style data dictionaries.

Enables AI assistants to interact with a Qdrant vector database, including embedding generation and vector search operations.