Discover our curated collection of MCP servers for database management. Browse 2074 servers and find the perfect MCPs for your needs.
Enables Large Language Models to interact with TapData for database connection inspection, schema retrieval, and CRUD operations.
Enables querying of live Xero data from Large Language Models like Claude Desktop using natural language through a Model Context Protocol (MCP) interface.
Enables large language models to query live Google Campaign Manager 360 data using natural language.
Enables Large Language Models (LLMs) to query live Google Contacts data via a Model Context Protocol (MCP) interface.
Enables Large Language Models (LLMs) and other AI clients to query and interact with live Wave Financial data using natural language.
Enables AI agents to interact with a PostgreSQL database through a secure, remote Model Context Protocol server.
Automates user sign-ups and data management through an intelligent, conversational AI interface.
Manages remote memory as a knowledge graph, synchronizing data with GitHub repositories for collaborative storage and access.
Demonstrates how to build agentic AI systems using CrewAI, integrating with REST APIs, PostgreSQL, and document storage.
Enables AI assistants to query and explore distributed data across EdgeLake nodes via the Model Context Protocol.
Manages student data through an AI-integrated system for registration and retrieval.
Enables natural language interaction for CRUD operations across heterogeneous databases like MySQL and PostgreSQL.
Provides Claude Code with persistent, SQL-powered memory and verified file editing capabilities to overcome session limitations and reduce AI hallucinations.
Enables AI assistants to execute SQL queries and manage data within Databricks SQL Warehouses via the Model Context Protocol.
Enables AI agents to maintain a persistent, evolving long-term memory, encompassing knowledge graphs, conversation history, and self-identity, transcending typical LLM limitations.
Enables AI tools to interact with legacy MongoDB instances (version 3.2+) through the Model Context Protocol.
Manages the full recruitment lifecycle for AI agents, covering candidates, jobs, matching, and pipeline tracking.
Discover and explore data across various sources, including SQLite databases and CSV files, leveraging an integrated API for AI agents.
Execute DAX and metadata queries against Power BI and Analysis Services semantic models, supporting both CLI operations and AI client integration.
Manages project-local agent activity and high-signal memory in an SQLite database via a Model Context Protocol (MCP) stdio server.
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