Discover our curated collection of MCP servers for database management. Browse 1319servers and find the perfect MCPs for your needs.
Build AI applications that can learn and answer questions over large-scale federated data sources using a federated query engine.
Builds and queries temporally-aware knowledge graphs tailored for AI agents operating in dynamic environments.
Streamlines the integration of GenAI tools with databases by handling complexities like connection pooling and authentication.
Provides a developer-friendly, embedded retrieval engine for multimodal AI, enabling efficient search and data management.
Provides a reactive database backend designed for web app developers to fetch data and perform business logic with strong consistency using TypeScript.
Provides a reliable memory layer for AI applications and AI agents, enhancing response accuracy and reducing hallucinations.
Provides a unified, cloud-native observability database for metrics, logs, and traces, supporting SQL, PromQL, and streaming analytics.
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.
Connects Supabase projects to AI assistants via the Model Context Protocol (MCP).
Create custom chatbots with personalized knowledge bases using advanced language models.
Provides a universal database gateway implementing the Model Context Protocol (MCP) server interface.
Unify access to diverse data sources, from files and databases to popular applications, by querying them with SQL and integrating with large language models.
Supports developers and AI agents throughout the entire Postgres development process, from initial coding to production tuning.
Provides scalable, fast, and disk-friendly vector search capabilities directly within PostgreSQL.
Auto-loads databases in VS Code and provides affordances to aid development and debugging.
Connects language models to a Qdrant vector database for storing and retrieving information.
Enables secure interaction with MySQL databases through a Model Context Protocol (MCP) server.
Monitors PostgreSQL databases, finds root causes of issues, and suggests fixes and improvements.
Enables LLMs to inspect MySQL database schemas and execute read-only queries.
Enables end-to-end Supabase database management via a chat interface, including query execution and management API support.
Scroll for more results...