"database" matching MCP servers:

MCP Server for OceanBase database and its tools

An implementation for managing Neo4j graph database operations through the Model Context Protocol, enabling users to execute Cypher queries against their Neo4j database via AI assistants like Cursor and Claude Desktop.

Connect your AI models to your favorite SurrealDB database, and let the LLMs do all your work for you.

Enables stateless human-in-the-loop DevOps automation, demonstrating MCP SEP-2322 multi-round trip requests for emergency database migration authorization.

MCP server that lets multiple coding-agent sessions on the same machine discover each other and collaborate through a shared SQLite database.

A multi-server implementation that uses OpenAI's LLM to orchestrate multiple tool servers providing web search, weather lookup, random facts, and PostgreSQL database querying capabilities.

Provides a self-hosted shared work queue for AI agents via MCP, using a local SQLite database for task management.

A Meta-MCP Server that acts as a tool discovery service, helping AI assistants find appropriate MCP servers from a database of 800+ servers when they need capabilities that aren't currently available.

Enables agents to report and query performance metrics to build a community-driven quality database for MCP tools. This server helps agents discover and select the most reliable tools based on success rates and user-reported quality scores.

A universal interface that enables AI Agents to communicate with Hologres databases, allowing them to retrieve database metadata and execute SQL operations.

An MCP server that enables concurrently-running Claude Code sessions to cross-talk via channels, DMs, and leader coordination, all backed by a shared beads database.

A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.

A Model Context Protocol server that allows AI agents to execute SQL queries against a MySQL database, supporting operations like reading data, creating tables, inserting, updating, and deleting records.

A Model Context Protocol server that enables large language models to interact with Apache Superset databases through REST API, supporting database queries, table lookups, field information retrieval, and SQL execution.

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.

Enables AI assistants to perform comprehensive Redis database operations including managing strings, hashes, lists, sets, sorted sets, TTL management, and data backup/restore. Supports secure connections and provides batch operations for efficient Redis interaction through natural language.

Agentic tool that looks for statistical variations in conversation structure and logs unusual events to a SQLite database. Built using the Model Context Protocol (MCP), this system is designed to be used with Claude Desktop or other MCP-compatible clients.

A unified gateway and dashboard that aggregates multiple MCP servers into a single endpoint for streamlined management by AI clients. It features a centralized YAML configuration, a web-based monitoring dashboard, and hot-reload support for managing filesystem, GitHub, and database tools.

An orchestration system that coordinates multiple MCP servers to eliminate AI session startup overhead through intelligent project caching. It enables instant context loading and conversation continuity by synchronizing data across Memory, Filesystem, Git, and Database MCPs.

Deploys an open-source integration layer for AI agents (Executor) to Cloudflare, providing a private MCP endpoint secured by Cloudflare Access, with D1 database, R2 storage, and Durable Objects for session management.