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
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  • SingleStore — SingleStore is an MCP server that connects LLM clients directly to the SingleStore database platform and management APIs. Built for database administrators, software engineers, and…
  • SimpleDB MCP — SimpleDB MCP is an MCP server that enables AI clients to securely access and explore relational databases and enterprise data sources, including MySQL, PostgreSQL, Salesforce,…
  • SJ RedM MCP Server — SJ RedM MCP Server is an MCP server that provides RedM and Red Dead Redemption 3 modding resources to AI assistants. It connects directly to…
  • Simple PostgreSQL MCP Server — Simple PostgreSQL MCP Server is an MCP server that connects AI assistants directly to PostgreSQL relational databases. Developed by Netanel Bollag, it serves as both…
  • Simple Memory MCP — Simple Memory MCP is an MCP server that provides persistent memory storage and retrieval for AI assistants using a local database. It connects MCP-compatible clients…
  • Salesforce Einstein by CData — Salesforce Einstein by CData is an MCP server that exposes Salesforce Einstein data as relational SQL models for AI assistants. It connects Large Language Models…
  • RewindDB — RewindDB is an MCP server that interfaces with the local Rewind.ai SQLite database to expose recorded audio transcripts and optical character recognition screen data to…
  • qmcp Server — qmcp Server is an MCP server that provides Model Context Protocol integration for connecting to and executing queries on q and kdb+ databases. Designed primarily…
  • Python MSSQL MCP Server — Python MSSQL MCP Server is an open source Model Context Protocol server that connects AI clients to Microsoft SQL Server databases. Built with Python, pyodbc,…
  • PyMilvus Code Generate Helper — PyMilvus Code Generate Helper is an MCP server that indexes Milvus documentation and provides contextual code assistance for developers building vector search applications. It connects…
  • Qdrant Retrieve — Qdrant Retrieve is an MCP server that enables AI assistants to execute semantic searches across vector collections stored in a Qdrant database instance. Developed for…
  • QDrant Loader — QDrant Loader is an MCP server and data ingestion toolkit that connects Qdrant vector databases to AI-assisted development environments. Software engineers, technical writers, and AI…
  • Qdrant MCP Server — Qdrant MCP Server is an MCP server that provides semantic code search capabilities across software repositories using the Qdrant vector database and OpenAI text embeddings.…
  • Qdrant Memory — Qdrant Memory is an MCP server that provides a dual-layer knowledge graph implementation with semantic search capabilities powered by the Qdrant vector database. It connects…
  • Pylar — Pylar is an MCP server and data access layer that connects AI agents to relational databases, cloud warehouses, and SaaS applications through governed SQL views.…
  • Qdrant — Qdrant is an MCP server that provides a semantic memory layer connected directly to the Qdrant vector database. Built using FastMCP, it connects LLM applications…
  • pg-aiguide — pg-aiguide is an MCP server that connects AI coding assistants to version-aware PostgreSQL documentation, ecosystem manuals, and curated database engineering skills. Developed by Timescale, the…
  • Octopus MCP Server — Octopus MCP Server is an MCP server that provides a high-performance, persistent knowledge base interface built with Rust for AI assistants and development workflows. It…
  • ODBC Server via PyODBC — ODBC Server via PyODBC is an MCP server that provides SQL and metadata inspection tools for databases connected through ODBC drivers via pyodbc. Developed by…
  • OceanBase — OceanBase is an MCP server collection that connects AI assistants to OceanBase distributed relational databases and its surrounding operational ecosystem. Database administrators, data engineers, and…
  • OceanBase MCP Server — OceanBase MCP Server is an MCP server that enables AI assistants to securely connect to and interact with OceanBase relational databases. It connects directly to…
  • Octodet Elasticsearch MCP Server — Octodet Elasticsearch MCP Server is an MCP server that provides tools for interacting directly with Elasticsearch clusters through the Model Context Protocol. It connects LLM-based…
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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.

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