googleapis/genai-toolbox A MCP Server Active
Open source MCP server specializing in easy, fast, and secure tools for Databases.
124 MCP servers and agent skills in the Databases category, ranked by quality score.
Open source MCP server specializing in easy, fast, and secure tools for Databases.
Official Supabase MCP server to connect AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data.
Official MongoDB MCP server — connect to MongoDB databases and MongoDB Atlas from AI agents.
Built-in MCP server for ArcadeDB, a multi-model database (graph, document, key-value, time-series, vector) with SQL, Cypher, Gremlin, and MongoDB QL support.
Baserow database integration with table search, list, and row create, read, update, and delete capabilities.
MySQL database integration with configurable access controls, schema inspection, and comprehensive security guidelines
Provides comprehensive integration with your [VictoriaLogs instance APIs](https://docs.victoriametrics.com/victorialogs/querying/#http-api) and [documentation](https://docs.victoriametrics.com/victorialogs/) for working with logs, investigating and debugging tasks related to your VictoriaLogs instances.
MySQL database integration in NodeJS with configurable access controls and schema inspection
The PlanetScale CLI includes an MCP server that provides AI tools direct access to your PlanetScale databases.
The Redis official MCP Server offers an interface to manage and search data in Redis.
Query and analyze Prometheus, open-source monitoring system.
Airtable database integration with schema inspection, read and write capabilities
Official MCP server for the S2.dev serverless stream platform.
A Model Context Protocol Server for MongoDB
Couchbase MCP server provides unfied access to both Capella cloud and self-managed clusters for document operations, SQL++ queries and natural language data analysis.
ClickHouse database integration with schema inspection and query capabilities
Official Appwrite MCP server. Connect via hosted OAuth at `https://mcp.appwrite.io/` (no API keys) or self-host with a project API key to manage databases, auth, users, functions, storage, messaging, and more.
An MCP Server for creating and managing Postgres databases using Neon Serverless Postgres
Universal SQLAlchemy-based database integration supporting PostgreSQL, MySQL, MariaDB, SQLite, Oracle, MS SQL Server and many more databases. Features schema and relationship inspection, and large dataset analysis capabilities.
A high-performance multi-database MCP server built with Golang, supporting MySQL & PostgreSQL (NoSQL coming soon). Includes built-in tools for query execution, transaction management, schema exploration, query building, and performance analysis, with seamless Cursor integration for enhanced database workflows.
Natural language PostgreSQL queries with automatic streaming, read-only safety, and universal database compatibility.
MCP Server implementation that provides Elasticsearch interaction
MCP server for Google Sheets API integration with comprehensive reading, writing, formatting, and sheet management capabilities.
Connect to any relational database, and be able to get valid SQL, and ask questions like what does a certain column prefix mean.
MCP Server for Milvus / Zilliz, making it possible to interact with your database.
Connect AI tools directly to Airtable. Query, create, update, and delete records using natural language. Features include base management, table operations, schema manipulation, record filtering, and data migration through a standardized MCP interface.
Navigate your [Aiven projects](https://go.aiven.io/mcp-server) and interact with the PostgreSQL®, Apache Kafka®, ClickHouse® and OpenSearch® services
MSSQL database integration with schema inspection and query capabilities
Django ORM static-analysis MCP server. Nine read-only tools (`list_apps`, `list_models`, `describe_model`, `find_relations`, `cascade_preview`, `er_diagram`, `describe_migration_dependency`, `suggest_indexes`, `signal_graph`) that expose Django schema, relationships (FK/M2M/O2O, on_delete, related_name), migration deps, missing indexes, and signal graphs — no DB, no Django boot, no credentials. Co
Confluent integration to interact with Confluent Kafka and Confluent Cloud REST APIs.
Chroma MCP server to access local and cloud Chroma instances for retrieval capabilities
Official MCP server for InfluxDB 3 Core/Enterprise/Cloud Dedicated
Server implementation for Google BigQuery integration that enables direct BigQuery database access and querying capabilities
Memgraph MCP Server - includes a tool to run a query against Memgraph and a schema resource.
A Go implementation of a Model Context Protocol (MCP) server for Trino
All-in-one MCP server for Postgres development and operations, with tools for performance analysis, tuning, and health checks
A Model Context Protocol server for interacting with Google Sheets. This server provides tools to create, read, update, and manage spreadsheets through the Google Sheets API.
Model Context Protocol with Neo4j (Run queries, Knowledge Graph Memory, Manaage Neo4j Aura Instances)
MCP server for interacting with [YDB](https://ydb.tech) databases
Supabase MCP Server with support for SQL query execution and database exploration tools
Connect to any JDBC-compatible database and query, insert, update, delete, and more.
A Model Context Protocol server for managing, monitoring, and querying data in [CockroachDB](https://cockroachlabs.com).
Microsoft Dataverse MCP server with 63 tools for entity CRUD, FetchXML/OData queries, metadata inspection, workflow execution, audit logs, and Power Platform integration. Zero-config device code authentication.
A secure, tunnel-native database bridge for AI agents. Connects localhost & on-premise databases (MSSQL, etc.) to LLMs with AST-based query safety and PII masking.
Hydrolix time-series datalake integration providing schema exploration and query capabilities to LLM-based workflows.
Local, contract-governed federation across files and databases (Postgres, Snowflake, BigQuery, DuckDB, Excel, and more) with read-only guards, PII masking, and per-column agent access.
Read-only trust layer for Postgres: the agent never writes SQL — twelve tools compile it from definitions you control, PII and secret categories are refused before the query runs, and every call lands in a tamper-evident SHA-256 audit chain.