Discover our curated collection of MCP servers for database management. Browse 1620servers and find the perfect MCPs for your needs.
Provides a standardized interface for interacting with Airtable bases, tables, and records, enabling seamless integration with AI-powered applications and n8n workflows.
Provides a Model Context Protocol (MCP) interface for querying, managing, and interacting with KDB+ databases.
Enables LLMs to query live Marketo data through a simple Model Context Protocol (MCP) interface.
Transforms ALMA (Atacama Large Millimeter/submillimeter Array) archive queries into natural language conversations, providing seamless access to astronomical data.
Queries Snowflake databases using external browser authentication.
Provides sample Python servers for extending AI assistant capabilities via the Model Context Protocol.
Builds and deploys a custom Model Context Protocol server on Databricks Apps, providing two LLM-callable tools for data interaction.
Provides a Model Context Protocol (MCP) server to enable AI assistants to interact with Meilisearch for comprehensive search engine management and data operations.
Provides a Model Context Protocol server for read-only access to PostgreSQL databases, enabling LLMs to inspect schemas and execute queries.
Manages product inventory with advanced features, PostgreSQL backend, Docker containerization, and multi-platform AI integrations.
Enables querying Trello data from LLMs like Claude Desktop using a Model Context Protocol (MCP) interface.
Manages an AWS Aurora Postgres server configured with the Pgvector extension.
Provides a comprehensive set of tools for interacting with the Treasure Data API within AI development environments.
Enables connecting to Zendesk data from Claude Desktop using CData JDBC Drivers via a read-only Model Context Protocol (MCP) server.
Exposes Salesloft data as relational SQL models through an MCP interface for natural language querying by large language models.
Enables AI clients to access and query live YouTube Analytics data through a Model Context Protocol (MCP) server.
Connects AI agents to Gmail and PostgreSQL databases, enabling read and write operations for email and data management.
Enables AI models to safely access and analyze data from legacy MongoDB instances (versions 2.6-3.6) using a Model Context Protocol (MCP) interface.
Integrates MySQL databases with AI assistants and other Model Context Protocol (MCP) clients through a dedicated server.
Executes a server-side cursor operation.
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