database management를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2155개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Connects large language models to various databases using natural language.
Provides database interaction capabilities with ArangoDB through the Model Context Protocol (MCP).
Implements a Model Context Protocol (MCP) SQLite server using Node.js, offering an npx-based solution for environments lacking Python's UVX runner.
Enables querying of live SharePoint data from Large Language Models using natural language questions.
Enables AI assistants to query and analyze Jira issue data stored in CSV files exported from Snowflake.
Enables large language models to query live WooCommerce data via a simplified Model Context Protocol interface.
Establishes a foundational server environment using standard I/O for integrating Model Context Protocol functionalities.
Provides a Model Context Protocol server for seamless integration with the Cliniko practice management system.
Provides local natural language processing and a REST API for Vertica database interactions.
Provides comprehensive psychological intelligence capabilities as a standalone Model Context Protocol (MCP) server, integrating attachment theory and Big Five traits with Neo4j.
Manages PostgreSQL clusters via the CloudNativePG operator within Kubernetes environments.
Provides structured safety data on food products and contaminants by accessing EFSA's OpenFoodTox database for chemical hazards.
Provides comprehensive CRUD operations and advanced querying for PostgreSQL databases, enabling LLMs to interact with data through a Model Context Protocol server.
Enable AI agents to connect with SQLite databases in seconds.
Provides an AI-readable, searchable database of 11,663 Philippine statutes, including key acts and the Constitution, accessible via MCP-compatible AI clients.
Manage connections to multiple PostgreSQL databases from a single Model Context Protocol (MCP) server.
Manages DORA Art. 28 Register of Information for ICT providers and facilitates ITS export.
Provides an agent-first knowledge graph with 25 MCP tools for large language models and AI agents.
Connects Large Language Models to a SLiMS database to enable library search and information retrieval.
Establishes a dual-component system for querying and managing Parquet files via an MCP server and an OpenAI-powered Python client.
Scroll for more results...