Discover our curated collection of MCP servers for database management. Browse 1604servers and find the perfect MCPs for your needs.
Provides administrators with a server to manage QueryPie instances, enabling monitoring and management capabilities.
Provides Large Language Models transparent access to ODBC-accessible data sources.
Enables AI models to interact with MySQL databases through a standardized Model Context Protocol interface.
Provides a Model Context Protocol (MCP) server enabling LLM applications to store and retrieve memories using LanceDB, an embedded vector database.
Enables querying of Dataverse environments using SQL through the Model Context Protocol (MCP).
Enables analysis of clinical trial data from the AACT database, tracking development trends, and generating analysis memos.
Exposes a SQLite database as an MCP server with table schemas, read-only SQL query capabilities, and prompt templates for data analysis.
Connects AI assistants to IBM DB2 for i databases for querying and metadata inspection.
Provides remote access to ChromaDB, enabling AI assistants like Claude to perform semantic search and vector database operations from various devices.
Enables AI assistants to interact with Apache Solr for search, indexing, and management tasks.
Manages Datomic database connections and operations, including support for in-memory instances.
Enables read-only queries for TDengine databases, allowing AI assistants to explore data and database structures.
Optimizes PostgreSQL operations with 63 AI-native tools for query optimization, index tuning, EXPLAIN analysis, and comprehensive database health management.
Provides access to over 6,000 Key Performance Indicators for Swedish municipalities and regions from the Kolada API.
Enables schema operations for Microsoft Dataverse, facilitating the creation and management of tables, columns, relationships, and option sets via the Dataverse Web API.
Connects to PostgreSQL databases, executes read-only SQL queries, and provides detailed table information through MCP-compatible clients.
Provides a robust Python implementation for programmatic interaction with Frappe Framework, offering comprehensive API coverage, advanced filtering, and a custom filter language to overcome JSON validation limits.
Connects diverse data sources with Large Language Models using the Multi-Context Protocol, enabling intelligent querying and retrieval-augmented generation for an AI agent framework.
Provides agentic search capabilities with support for vector search using Qdrant, full-text search using TiDB, or both combined within a Model Context Protocol (MCP) server.
Provides AI assistants with direct, read-only access to Local by Flywheel WordPress databases, enabling informed SQL queries and schema understanding.
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