Descubre nuestra colección curada de servidores MCP para database management. Explora 2134 servidores y encuentra los MCP perfectos para tus necesidades.
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.
Enables IDEs to safely interact with Supabase databases for SQL query execution, database management, and Management API access.
Provides a comprehensive Model Context Protocol (MCP) server for accessing the PubChem chemical database.
Enables natural language querying of MySQL databases using Model Context Protocol (MCP) and a large language model.
Integrates large language models with Salesforce data via a Model Context Protocol server.
Provides a vector search system for document retrieval using MongoDB Atlas Vector Search and Voyage AI embeddings.
Automate Optimizely DXP environment management, including deployments, database operations, and content synchronization, through natural language conversations with AI assistants.
Connects Claude Desktop to an Elasticsearch cluster for AI-powered log analysis and intelligent insights.
Provides secure, efficient PostgreSQL database access for AI agents using the Model Context Protocol.
Provides an MCP server for MySQL, PostgreSQL, and SQLite, offering granular permissions, multi-database support, and cloud-ready SSL/TLS with an extensible adapter pattern.
Empowers AI assistants to interact with databases, analyze queries, and perform comprehensive database management tasks.
Provides a Model Context Protocol server enabling AI assistants to query, modify, and manage Esri File Geodatabases through ArcPy.
Provides an enhanced Model Context Protocol server for ChromaDB, facilitating advanced data retrieval, embedding management, and sequential reasoning capabilities for LLM applications.
Provides a unified Model Context Protocol (MCP) server for AI agents to seamlessly interact with multiple SQL databases including MySQL, PostgreSQL, MSSQL, DM8, and SQLite.
Translates natural language questions into explainable, reproducible data insights with built-in quality checks and semantic layer integration.
Exposes Apple Health data to Large Language Models for natural language querying and analysis.
Exposes ATLAS AMI and PMG cross-section database as tools for Large Language Models.
Connect AI agents to Azure SQL and SQL Server databases, providing 34 enterprise-grade tools with robust safety features.
Enables AI agents to manage structured data, create documents, upload files, and publish live dashboards within a unified workspace for collaborative team productivity.
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