Discover our curated collection of MCP servers for database management. Browse 1965 servers and find the perfect MCPs for your needs.
Enables querying of live HDFS data from Large Language Models using natural language through a Model Context Protocol (MCP) interface.
Enables large language models to query live Certinia data using natural language via CData JDBC Drivers.
Enables large language models and AI clients to query live Cvent data 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.
Connects Large Language Models (LLMs) to live Oracle SCM data, enabling natural language queries without SQL.
Enables Large Language Models (LLMs) to query live PingOne data and interact with it using natural language through a standardized Model Context Protocol (MCP) interface.
Exposes PostgreSQL database schemas and metadata for exploration by Model Context Protocol (MCP) compatible tools.
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.
Manages student data through an AI-integrated system for registration and retrieval.
Provides an AI-driven data service platform integrating data visualization, intelligent SQL querying, and temporary link management.
Integrates Claude Desktop with PostgreSQL databases, allowing natural language queries for data exploration and analysis.
Provides AI assistants with access to a comprehensive directory of Bangladeshi doctors, hospitals, and medical specialists.
Provides a local, Rust-based vector database specifically designed for source code, including an integrated MCP server for intelligent code search and analysis.
Provides Claude Code with persistent, SQL-powered memory and verified file editing capabilities to overcome session limitations and reduce AI hallucinations.
Provides a Model Context Protocol (MCP) server for querying Trino with robust authentication support.
Enables AI tools to interact with legacy MongoDB instances (version 3.2+) through the Model Context Protocol.
Discover and explore data across various sources, including SQLite databases and CSV files, leveraging an integrated API for AI agents.
Connects AI clients to Azure Synapse Analytics, offering full CRUD access to SQL, Pipelines, Spark, and Notebooks without paid drivers.
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