Discover our curated collection of MCP servers for database management. Browse 2132 servers and find the perfect MCPs for your needs.
Executes SQL queries on a database via Server-Sent Events.
Provides index, cluster, and document management tools for OpenSearch.
Serves as a standardized bridge between large language models and MonkDB, enabling advanced database operations through natural language.
Configures and documents the Airtable Model Context Protocol (MCP) server for interacting with Airtable bases through Cursor.
Connects large language models to SAP Netweaver Gateway data through a Model Context Protocol server, enabling natural language querying.
Connects Large Language Models and AI clients to live Sugar CRM data through a read-only Model Context Protocol (MCP) interface.
Enables AI assistants to manage Fivetran accounts and data integration operations through a standardized API.
Manages Apache Kafka clusters through the Model Context Protocol, enabling operations like topic, message, and consumer group handling with real-time monitoring.
Provides a custom Model Context Protocol (MCP) server for the RAGmonsters PostgreSQL dataset, offering a domain-specific API for enhanced LLM interaction.
Enables Spring AI models to execute SQL queries across various database systems.
Integrates DuckDB with Model Context Protocol clients for advanced data management and analysis.
Provides AI assistants with access to unified financial data from various Open Banking sources, enabling comprehensive analysis and educational insights.
Provides a Dockerized framework combining PostGIS and pgvector to process and serve comprehensive geospatial data with vector similarity search capabilities.
Performs Cloudflare D1 database introspection using Model Context Protocol (MCP) and semantic intent patterns to facilitate AI-assisted development.
Bridges the Model Context Protocol with the usql CLI to enable AI assistants to run queries against any database usql supports.
Provides an SQLite-based memory server utilizing WAL mode for concurrent access, serving as a drop-in replacement for `@modelcontextprotocol/server-memory`.
Connects Large Language Models (LLMs) to Qdrant vector databases, enabling semantic search and retrieval through the Model Context Protocol.
Provides a comprehensive, AI-readable database of Chinese laws, administrative regulations, and departmental rules with full-text search capabilities.
Enables AI clients to access and query Oracle Fusion Cloud ERP data through the Model Context Protocol.
Provides a local-first, layered long-term memory system for AI agents, ensuring knowledge persistence across sessions.
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