Database Management MCP Servers
Discover our curated collection of MCP servers for database management. Browse 890servers and find the perfect MCPs for your needs.
MindsDB
Build AI applications that can learn and answer questions over large-scale federated data sources using a federated query engine.
Graphiti
Builds and queries temporally-aware knowledge graphs tailored for AI agents operating in dynamic environments.
LanceDB
Provides a developer-friendly, embedded retrieval engine for multimodal AI, enabling efficient search and data management.
Cognee
Provides a reliable memory layer for AI applications and AI agents, enhancing response accuracy and reducing hallucinations.
Convex
Provides a reactive database backend designed for web app developers to fetch data and perform business logic with strong consistency using TypeScript.
GreptimeDB
Provides a unified, cloud-native observability database for metrics, logs, and traces, supporting SQL, PromQL, and streaming analytics.
OP Vault
Empower ChatGPT with long-term memory by creating custom knowledge bases from uploaded documents and retrieving relevant answers using the OpenAI and Pinecone vector database stack.
Dialoqbase
Create custom chatbots with personalized knowledge bases using advanced language models.
Supabase
Connects Supabase projects to AI assistants via the Model Context Protocol (MCP).
Genai Toolbox
Streamlines the integration of GenAI tools with databases by handling complexities like connection pooling and authentication.
Devdb
Auto-loads databases in VS Code and provides affordances to aid development and debugging.
VectorChord
Provides scalable, fast, and disk-friendly vector search capabilities directly within PostgreSQL.
Dbhub
Provides a universal database gateway implementing the Model Context Protocol (MCP) server interface.
Xata Agent
Monitors PostgreSQL databases, finds root causes of issues, and suggests fixes and improvements.
Supabase Query
Enables end-to-end Supabase database management via a chat interface, including query execution and management API support.
Qdrant
Connects language models to a Qdrant vector database for storing and retrieving information.
MySQL
Enables secure interaction with MySQL databases through a Model Context Protocol (MCP) server.
Postgres Pro
Supports developers and AI agents throughout the entire Postgres development process, from initial coding to production tuning.
MySQL
Enables LLMs to inspect MySQL database schemas and execute read-only queries.
Neo4j
Enables natural language interaction with Neo4j databases and Aura accounts using the Model Context Protocol.
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