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MCP Toolbox

Google's open-source MCP server for databases — connect AI agents to PostgreSQL, MySQL, BigQuery, MongoDB, Redis, Elasticsearch and more

★ 15,841 GitHub Apache-2.0 mcpdatabasepostgresqlmysqlbigquerymongodbrediselasticsearchai-agentsgoogle MCP Servers

Overview

MCP Toolbox for Databases is an open-source MCP (Model Context Protocol) server from Google that enables AI agents to connect to a wide range of databases through a unified interface. Built with Go, it supports PostgreSQL, MySQL, SQLite, BigQuery, Spanner, MongoDB, Redis, Elasticsearch, ClickHouse, CockroachDB, Firestore, Oracle, TiDB, and more — all through one binary. Key features include: 1) Multi-database support — one MCP server for 15+ database engines with consistent SQL dialect handling across each. 2) Built-in web UI — a browser-based query tool for exploring databases without writing MCP client code. 3) Comprehensive tool coverage — read queries, write operations, schema exploration, index management, and data export. 4) Secure connection management — support for TLS, IAM auth (GCP), connection pooling, and credential isolation per database. 5) Telemetry and monitoring — built-in OpenTelemetry tracing for debugging and observability. 6) Docker-native deployment — single container with multi-architecture support. With 15,800+ GitHub stars and an Apache-2.0 license, MCP Toolbox is one of the most popular MCP server implementations. It's actively maintained by Google and the open-source community, with extensive documentation including quickstart guides for Claude, Gemini, and custom MCP clients. Perfect for teams who need to give their AI agents safe, structured access to production databases.

Requirements

Min vCPU
1
Min RAM
512 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
2048 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  mcp-toolbox:
    image: deepankar32/mcp-toolbox:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/mcp-toolbox:/data

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