Best Databases & Data Stores MCP Servers

Databases & Data Stores MCP servers allow AI assistants to query and manage relational databases, document stores, time-series engines, and vector repositories via the Model Context Protocol. Connect tools like Claude Desktop and Cursor to systems such as MongoDB, YugabyteDB, VictoriaMetrics, and ODBC-compliant databases for automated schema inspection, data retrieval, and querying.

Databases & Data Stores MCP servers let AI assistants query, inspect, and update structured and unstructured data repositories directly through the Model Context Protocol. By exposing database clients as standardized tools and resources, these servers enable language models to execute SQL queries, inspect document schemas, retrieve time-series metrics, and pull records from relational engines, document stores, and vector indices.

How to choose a database MCP server

When evaluating servers in this category, focus on three practical operational criteria:

  1. Transport and hosting: Determine whether the server runs locally via standard input/output (stdio) or as a remote service over Server-Sent Events (SSE) or HTTP. Local engines like SQLite or self-hosted instances benefit from stdio execution within your client workspace, while distributed clusters require stable network routing.
  2. Authentication and security controls: Check how database credentials, connection strings, and access tokens are passed. Look for servers that support read-only connection strings, credential scoping, and role-based permissions to prevent models from executing destructive writes or unauthorized schema alterations.
  3. Maintenance and driver dependencies: Review underlying database drivers and runtime requirements. Connectors using standard packages (like Python DB-API or native Node drivers) require less environment setup than servers relying on specialized native drivers, ODBC bridges, or proprietary JDBC runtimes.

Top picks

  • MongoDB MCP Server provides tools and prompts for inspecting and querying document collections in MongoDB databases.
  • ODBC Server via PyODBC enables broad relational database connectivity, including systems like Virtuoso, through standardized ODBC drivers.
  • YugabyteDB MCP Server acts as a direct bridge allowing language models to query distributed YugabyteDB deployments.
  • Victoriametrics Mcp Server exposes time-series monitoring metrics directly to model contexts.
  • Salesforce Einstein by CData enables read-only querying of live Salesforce analytics data via a specialized CData driver.

Compare the top Databases & Data Stores MCP servers

MCP serverWhat it connects toTypeRepository
Zero-Vector v3Zero-Vector v3 acts like a sophisticated long-term brain for AI assistants and digital personas. In simple terms, it prevents anOpen Sourcehttps://github.com/fernicar/zero-vector-3
Victoriametrics Mcp ServerVictoriametrics Mcp Server is an MCP server that connects large language model interfaces to VictoriaMetrics time series databases. Built forOpen Sourcehttps://github.com/yincongcyincong/VictoriaMetrics-mcp-server
YugabyteDB MCP ServerThe YugabyteDB MCP Server acts as a bridge between artificial intelligence and a YugabyteDB database, allowing AI models to "talk"Open Sourcehttps://github.com/yugabyte/yugabytedb-mcp-server
Movies MCP ServerMovies MCP Server is an MCP server that connects Model Context Protocol clients directly to a PostgreSQL database for comprehensiveUnknown
ODBC Server via PyODBCODBC Server via PyODBC is an MCP server that provides SQL and metadata inspection tools for databases connected through ODBCOpen Sourcehttps://github.com/OpenLinkSoftware/mcp-pyodbc-server
MongoDB MCP ServerMongoDB MCP Server is an MCP server that provides tools and prompts for interacting directly with a MongoDB database. BuiltUnknownhttps://github.com/jb-7-jay/learn-mcp-server-mongo
Salesforce Einstein by CDataSalesforce Einstein by CData is an MCP server that exposes Salesforce Einstein data as relational SQL models for AI assistants.Unknownhttps://github.com/CDataSoftware/salesforce-einstein-mcp-server-by-cdata
RewindDBRewindDB is an MCP server that interfaces with the local Rewind.ai SQLite database to expose recorded audio transcripts and opticalUnknownhttps://github.com/pedramamini/RewindMCP
YouTube Data MCPThe YouTube Data MCP acts as a smart bridge between AI models and the vast library of content on YouTube.Open Sourcehttps://github.com/kirbah/mcp-youtube
Zero-Vector MCPZero-Vector MCP acts like a high-powered digital brain for AI assistants, giving them the ability to remember past conversations andUnknownhttps://github.com/MushroomFleet/zero-vector-MCP
  • Meta MCP Server — Meta MCP Server (also known as MCP Deck) is an MCP server that acts as an intelligent router and multiplexer for child Model Context Protocol…
  • Meilisearch — Meilisearch is an MCP server that connects LLM clients directly to Meilisearch instances for automated full-text and semantic search operations. Designed for software developers, data…
  • Mem0 MCP — Mem0 MCP is an MCP server that integrates with Mem0.ai to provide persistent memory capabilities for LLMs and AI agents across sessions. It connects LLM…
  • Memento MCP — Memento MCP is an MCP server that provides large language models with persistent, long-term ontological memory by interfacing with a Neo4j graph database. Software engineers,…
  • MCPJungle — MCPJungle is an MCP server that acts as a centralized self-hosted registry and gateway for managing multiple Model Context Protocol servers behind a single endpoint.…
  • MCP-MySQL-Ops — MCP-MySQL-Ops is an MCP server that connects AI assistants to MySQL databases to provide database monitoring, performance analysis, and administration tools through natural language queries.…
  • MCP-PostgreSQL-Ops — MCP-PostgreSQL-Ops is an MCP server that connects LLM clients to PostgreSQL databases for monitoring, administration, and performance analysis. It enables database administrators, backend developers, and…
  • MCP ZepAi Server — MCP ZepAi Server is an MCP server that integrates AI assistants with Zep, a dedicated long-term memory store designed for AI applications. It connects Model…
  • MCP Variance Log — MCP Variance Log is an MCP server that detects statistical variations and unusual interaction patterns in conversation structures and stores those events directly in a…
  • MCP Vertica — MCP Vertica is an MCP server that connects large language model clients to Vertica analytical databases for querying, schema inspection, and data management. Data engineers,…
  • MCP Trino Server — MCP Trino Server is an MCP server that connects AI assistants to distributed Trino SQL query engines and Apache Iceberg lakehouses. Designed for data engineers,…
  • MCP Toolbox for Databases — MCP Toolbox for Databases is an open source Model Context Protocol (MCP) server that connects AI assistants, development environments, and software applications directly to relational…
  • MCP Qdrant Codebase Embeddings — MCP Qdrant Codebase Embeddings is an MCP server that uses Qdrant vector embeddings to analyze and represent semantic relationships across source code repositories. By interfacing…
  • MCP RAG — MCP RAG is an MCP server that provides managed Retrieval-Augmented Generation capabilities by connecting MCP clients directly to Amazon Bedrock Knowledge Bases and Amazon OpenSearch.…
  • MCP RAN POC — MCP RAN POC is an MCP server proof of concept that connects AI clients to PostgreSQL databases and Kubernetes clusters managed by Red Hat Advanced…
  • MCP Postgres Query Server — MCP Postgres Query Server is an MCP server that provides a secure, read-only interface to query PostgreSQL databases from AI assistants. Built for software engineers,…
  • MCP ODBC Server — MCP ODBC Server is an MCP server that provides large language models with structured access to ODBC-compliant data sources via local Data Source Names (DSNs).…
  • MCP Oracle Database Server — MCP Oracle Database Server is an MCP server that provides full integration with Oracle Database systems for Model Context Protocol clients. It connects AI assistants…
  • MCP PGVector Server — MCP PGVector Server is an MCP server that provides semantic search capabilities for PostgreSQL databases utilizing the pgvector extension. It connects an AI client directly…
  • MCP PostgreSQL Server — MCP PostgreSQL Server is an MCP server that enables AI models to interact with PostgreSQL databases through a standardized interface. Built for developers, data analysts,…
  • MCP Oracle Server — MCP Oracle Server is an MCP server that enables AI assistants to connect and interact directly with Oracle relational database systems. Built on Node.js and…
  • MCP OAuth Sample — MCP OAuth Sample is an MCP server that provides a reference implementation of OAuth 2.1 authorization for Model Context Protocol clients. Built with Next.js 15,…
  • MCP Memory libSQL — MCP Memory libSQL is an MCP server that provides persistent graph and vector memory for AI assistants using libSQL. It connects local Model Context Protocol…
  • MCP MySQL Server — MCP MySQL Server is an MCP server that executes arbitrary SQL queries against configured MySQL databases using Spring AI. It connects AI clients to local…

What is the best Databases & Data Stores MCP server for Claude Desktop?

The right option depends on your backend architecture. For relational data requiring ODBC drivers, ODBC Server via PyODBC connects smoothly using standard local configuration. If you work with document databases, MongoDB MCP Server exposes document querying tools directly inside Claude Desktop. Teams monitoring operational metrics often use Victoriametrics Mcp Server to pull time-series data into prompts.

How do I connect a Databases & Data Stores MCP server to Cursor?

Add the chosen server command and environment variables to your Cursor configuration file. For instance, point the configuration to your Python or Node runtime executing MongoDB MCP Server, YugabyteDB MCP Server, or OceanBase. Ensure database credentials and connection URIs are securely passed via the configuration environment block so the model can call database tools during code generation.

Can I query relational databases with natural language using MCP?

Yes. XiYan MCP Server is specifically built to enable natural language queries to databases using XiyanSQL. Additionally, servers like ODBC Server via PyODBC, OceanBase, and Movies MCP Server provide schema inspection tools that allow models to inspect table definitions, construct valid SQL statements, and retrieve query results safely.

Are read-only Databases & Data Stores MCP servers available?

Yes. Several servers provide restricted read access to protect production data. For example, Salesforce Einstein by CData functions as a dedicated read-only MCP server for querying live analytics data. Similarly, RewindDB provides read access to local Rewind.ai SQLite transcripts and OCR data without modifying underlying records.

  • AI Tools
  • Categories
  • Industries
  • CLI Coding Agents
  • MCP Servers
  • MCP Categories