Discover our curated collection of MCP servers for database management. Browse 1975 servers and find the perfect MCPs for your needs.
Enables LLMs to interact with MongoDB databases through natural language.
Enables AI agents to query network monitoring data from ntopng using the Model Context Protocol.
Enables users to query SQL Server databases using natural language and receive structured SQL responses.
Packages multiple MCP servers into a single Docker container for various development tasks.
Serves as a standardized bridge between large language models and MonkDB, enabling advanced database operations through natural language.
Provides a comprehensive Model Context Protocol (MCP) server for accessing the PubChem chemical database.
Exposes SFTP data as a read-only Model Context Protocol (MCP) server for querying with Large Language Models (LLMs).
Integrates large language models with Salesforce data via a Model Context Protocol server.
Enables Large Language Models (LLMs) like Claude Desktop to perform read-only queries on live Zoho Creator data, facilitated by CData JDBC Drivers.
Enables AI agents to securely execute queries against various databases without direct credential exposure.
Enables AI models to interact with FalkorDB graph databases using natural language queries and commands.
Manages encryption operations for Microsoft SQL and Oracle databases, integrating with Thales CipherTrust Manager via CAKM.
Automate Optimizely DXP environment management, including deployments, database operations, and content synchronization, through natural language conversations with AI assistants.
Integrates DuckDB with Model Context Protocol clients for advanced data management and analysis.
Provides a semantic layer for BigQuery datasets, enabling large language models to easily query and analyze structured data.
Deletes records from SQLite database tables based on specified conditions.
Manages persistent knowledge graphs for AI systems like Claude, providing high-performance memory storage via the Model Context Protocol.
Provides an intelligent memory management system for AI applications, featuring fast local caching and advanced AI intelligence.
Empower AI agents with seamless access to distributed data functions and resilience capabilities within a Hazelcast cluster.
Provides a MongoDB-compatible server implemented in Go, enabling clients to interact with it as a standard MongoDB instance.
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