Database Management MCP Servers
Discover our curated collection of MCP servers for database management. Browse 1735servers and find the perfect MCPs for your needs.
Snowflake Integration
Enables Claude to execute SQL queries and interact with Snowflake databases.
ArangoDB
Facilitates database interactions with ArangoDB through a Model Context Protocol (MCP) server.
Databricks
Executes SQL queries against Databricks using the Statement Execution API.
Mssql
Enables interaction with MSSQL databases, facilitating SQL query execution and business intelligence tasks.
Astra DB
Enables Large Language Models to interact with and manage Astra DB databases as agents.
FocusSearch
Converts natural language into SQL queries using keyword parsing for improved accuracy and speed.
Salesforce
Enables interaction with Salesforce through its REST API using the Model Context Protocol.
Kuzu
Provides access to Kuzu databases for Large Language Models (LLMs) by enabling schema inspection and query execution.
Aws Athena
Enables AI assistants to execute SQL queries against AWS Athena databases and retrieve results.
Chroma
Provides vector database capabilities through Chroma for semantic document search and management.
Iceberg
Enables natural language interaction with Apache Iceberg lakehouses through a Model Context Protocol (MCP) server.
Kafka
Enables LLM models to interact with Apache Kafka through the Model Context Protocol (MCP).
Redis Cloud API
Manages Redis Cloud resources using natural language through the Model Context Protocol.
Teradata
Provides tools for interacting with Teradata databases, including query execution, DDL retrieval, database/table listing, and data quality analysis.
Rag Memory
Provides an advanced MCP server for RAG-enabled memory, leveraging a knowledge graph with vector search capabilities.
Prisma
Empowers Large Language Models (LLMs) to perform database operations and Prisma-specific workflows by exposing a structured API interface.
Web Algebra
Translates natural language instructions into JSON-formatted operations for loading, querying, and writing RDF Linked Data.
AI Memory
Provides a production-ready Model Context Protocol (MCP) server for AI agents to store, retrieve, and manage semantic memory and contextual knowledge across sessions.
IBM i Server
Enables agentic AI applications to interact with IBM i systems through a robust Model Context Protocol (MCP) server.
NeuronDB
Extends PostgreSQL with advanced vector search, machine learning algorithms, and agent runtime capabilities.
Scroll for more results...