Discover our curated collection of MCP servers for database management. Browse 1628servers and find the perfect MCPs for your needs.
Provides a vector search system for document retrieval using MongoDB Atlas Vector Search and Voyage AI embeddings.
Provides a type-safe and standards-centric API client for interacting with Airtable bases using TypeScript and JavaScript.
Provides a custom Elasticsearch service built on Python, offering tailored data retrieval tools via the FastMCP protocol.
Enables IDEs to safely interact with Supabase databases for SQL query execution, database management, and Management API access.
Enables connection to Dynamics 365 Business Central data from Claude Desktop using CData JDBC Drivers.
Extracts database schemas from PostgreSQL migration files by running a temporary database.
Provides secure BigQuery access across multiple Google Cloud projects with advanced analytics and robust security controls.
Empowers AI agents to seamlessly operate and manage INFINI Easysearch, including compatible Elasticsearch and OpenSearch APIs, through a dedicated Multi-tool Co-operation Protocol (MCP) server.
Serves as a standardized bridge between large language models and MonkDB, enabling advanced database operations through natural language.
Connects AI assistants to Odoo ERP systems, enabling interaction with Odoo data and functionality through the Model Context Protocol.
Provides a standardized Model Context Protocol (MCP) interface for interacting with the atPlatform ecosystem.
Enables Large Language Models like Claude to directly query and interact with Snowflake databases via the Model Context Protocol.
Performs Cloudflare D1 database introspection using Model Context Protocol (MCP) and semantic intent patterns to facilitate AI-assisted development.
Provides Model Context Protocol (MCP) server capabilities to query SPARQL endpoints, with specialized support for Proto-OKN knowledge graphs hosted on the FRINK platform.
Connects large language models to live SAP Ariba Procurement data, enabling natural language querying.
Enables chat interactions leveraging Retrieval-Augmented Generation (RAG), a database, and server capabilities.
Empowers AI assistants to manage and monitor Citus distributed PostgreSQL clusters.
Enables AI assistants to interact with SQL Server databases for schema inspection, query execution, and performance monitoring.
Provides AI assistants with access to unified financial data from various Open Banking sources, enabling comprehensive analysis and educational insights.
Exposes Django project information through the Model Context Protocol (MCP) to enable AI assistants to better understand and interact with Django codebases.
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