Descubre nuestra colección curada de servidores MCP para database management. Explora 2133 servidores y encuentra los MCP perfectos para tus necesidades.
Enables seamless communication between AI Agents and Hologres databases for metadata retrieval and SQL operations.
Enables Large Language Models (LLMs) to query, analyze, and interact with Prometheus databases through predefined routes.
Enables AI models to interact with MySQL databases through a standardized interface.
Stores and loads JSON documents for use with Large Language Model (LLM) tools.
Exposes access to an InfluxDB instance using the InfluxDB OSS API v2 via a Model Context Protocol (MCP) server.
Enables AI agents to interact with PostgreSQL databases through a standardized Model Context Protocol (MCP).
Connects AI models with FalkorDB graph databases via the Model Context Protocol.
Manages records and files within a PocketBase instance, providing tools for data manipulation and migration management.
Enables unified metadata access and cross-engine data querying for large language models across diverse database ecosystems.
Provides an MCP server for Apache Iceberg catalogs, enabling metadata access and management.
Provides advanced access to the ChEMBL chemical database through a Model Context Protocol (MCP) server.
Manages and analyzes real estate data through a comprehensive Model Context Protocol server.
Enables robust data extraction, manipulation, and transformation for BIM applications, specifically Autodesk Revit, to facilitate communication with MCP-compatible AI agents.
Automates the generation of complete Java layered code, including Entity, DAO, Service, and Controller, for multiple databases using smart database analysis.
Empower AI models with external capabilities like web search, persistent memory, and real-time weather information.
Empowers AI assistants with persistent, intelligent memory capabilities through a unified graph database architecture.
Compile YAML semantic models into optimized analytical SQL across multiple database dialects.
Extracts concepts from documents, measures their grounding strength, preserves disagreement, and traces everything back to its original source within a semantic knowledge graph.
Exposes a MetaOntology OS grammar via an MCP server to facilitate the evolution of AI agent environments toward structured forms.
Provides AI coding tools with accurate and token-efficient codebase context through a local-first knowledge graph.
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