Discover our curated collection of MCP servers for database management. Browse 1774 servers and find the perfect MCPs for your needs.
Provides a collection of Model-Context-Protocol (MCP) servers for the Cursor IDE, enabling integration with external tools.
Provides an MCP server for managing vector embeddings, collections, and documents within ChromaDB.
Enables connecting to Databricks data from applications like Claude Desktop through CData JDBC Drivers via a read-only Model Context Protocol (MCP) server.
Enables querying live XML Documents data from applications like Claude Desktop using CData JDBC Drivers.
Enables querying live Kintone data from Large Language Models (LLMs) like Claude Desktop through a Model Context Protocol (MCP) interface.
Provides a FastMCP server for analyzing DBT manifests, offering automatic schema version detection and comprehensive lineage tracking.
Facilitates read-only access to Sage 300 data, enabling large language models to query live information using natural language.
Enables natural language querying of live Sage Cloud Accounting data from AI clients like Claude Desktop.
Provides an HTTP interface for executing queries against Apache HiveServer2 instances.
Connects to Redshift clusters for SQL query execution via the Model Context Protocol.
Exposes comprehensive MongoDB Atlas API functionality as Model Context Protocol tools.
Enables AI assistants to manage MySQL databases and execute various operations using natural language commands.
Provides a chat interface to retrieve and query comprehensive SEC filing data.
Manages SQLite databases, tables, and data through comprehensive CRUD, import/export, and advanced SQL execution.
Provides comprehensive todo list management capabilities, allowing MCP clients to create, list, toggle, delete, and search tasks.
Manages user data, resources, tools, and prompts through a Model Context Protocol server, featuring AI-powered data generation.
Extends Neo4j with advanced search capabilities, including vector, fulltext, and search-augmented Cypher queries, specifically designed for GraphRAG applications.
Unify management and natural language querying across 20 different databases through a single interface.
Orchestrates a comprehensive ecosystem of Model Context Protocol (MCP) servers, enabling large language models to communicate with a wide array of external tools and services.
Enables AI assistants to securely interact with PostgreSQL databases through a Model Context Protocol (MCP) server.
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