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DBHub Analytics MCP server

by amansingh63·io.github.amansingh63/dbhub-analytics·v0.2.0
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MCP server for Databricks, BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, MariaDB

B72/100grade B
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Safety scan
B72/100

full report

Adoption
New

0 stars52 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

DBHub Analytics tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan19 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 177 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 72/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How DBHub Analytics compares

Against every graded Databases MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
72/100
higher than 30% of 802 Databases servers
Downloads a week
52
more than 40% of 324 Databases servers with a package

Install DBHub Analytics in Claude Code, Cursor or VS Code

Runs npx -y dbhub-analytics on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add dbhub-analytics -- npx -y dbhub-analytics
Add to Cursor

What the publisher says

From the DBHub Analytics repository's README, as published. We do not edit it. Read it on GitHub

DBHub Analytics Universal Database MCP Server for Databricks, Google BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, MariaDB

Built on top of DBHub by Bytebase.

What is DBHub Analytics?

DBHub Analytics is an open-source MCP (Model Context Protocol) server that connects AI assistants like Claude Desktop, Claude Code, Cursor, VS Code Copilot, and other MCP-compatible clients to your databases. Query Databricks SQL warehouses, Google BigQuery datasets, PostgreSQL, MySQL, and more — all through a single unified interface.

+------------------+    +--------------+    +------------------+
            |                  |    |              |    |                  |
            |  Claude Desktop  +--->+              +--->+    PostgreSQL    |
            |                  |    |              |    |                  |
            |  Claude Code     +--->+              +--->+    SQL Server    |
            |                  |    |    DBHub     |    |                  |
            |  Cursor          +--->+   Analytics  +--->+    SQLite        |
            |                  |    |              |    |                  |
            |  VS Code         +--->+              +--->+    MySQL         |
            |                  |    |              |    |                  |
            |  Copilot CLI     +--->+              +--->+    MariaDB       |
            |                  |    |              |    |                  |
            |                  |    |              +--->+    Databricks    |
            |                  |    |              |    |                  |
            |                  |    |              +--->+    BigQuery      |
            |                  |    |              |    |

Key Features

  • Cloud Data Warehouses: Connect to Databricks SQL and Google BigQuery for analytics workloads
  • Traditional Databases: Full support for PostgreSQL, MySQL, MariaDB, SQL Server, SQLite
  • Multi-Database: Connect to multiple databases simultaneously with a single TOML config file
  • Schema Explorer: Progressive disclosure — browse catalogs, datasets, schemas, tables, and columns
  • Safety Guardrails: Read-only mode, row limits, and query timeouts to prevent runaway operations
  • Secure Access: SSH tunneling, SSL/TLS encryption, and service account authentication
  • Zero Config: Just provide a DSN — no drivers to install, no complex setup

Supported Databases

MCP Tools

Quick Start

NPM (recommended)

npx dbhub-analytics --dsn "postgres://user:password@localhost:5432/dbname"

Databricks SQL

npx dbhub-analytics --dsn "databricks://token:YOUR_TOKEN@your-workspace.cloud.databricks.com/sql/2.0/warehouses/your_warehouse_id"

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

DBHub Analytics: common questions

Is DBHub Analytics MCP server safe?
Mostly: it is graded B (72/100). Read the DBHub Analytics safety report
How do I install DBHub Analytics?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does DBHub Analytics need an API key?
Yes. The registry entry asks for DSN, DB_PASSWORD, SSH_PASSWORD, SSH_PASSPHRASE.
Is DBHub Analytics maintained?
The last commit was 213 days ago (2026-04-03). The latest release is v0.2.0.
What can I use instead of DBHub Analytics?
Servers from other publishers that do the same job: DBHub MCP server, Faucet MCP server and NeoSQL MCP server.
How does DBHub Analytics compare with other Databases MCP servers?
safety score 72/100 (higher than 30% of 802 Databases servers); downloads a week 52 (more than 40% of 324 Databases servers with a package). Full comparison.

Alternatives to DBHub Analytics

Same job from other publishers: the closest match first, then the best rated.

  • DBHub
    Token-efficient database MCP server for PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite
    A
  • Faucet
    SQL database to MCP tools and REST API: PostgreSQL, MySQL, SQL Server, Oracle, SQLite, Snowflake.
    A
  • NeoSQL MCP
    Schemas, SQL, ERDs, and codegen for PostgreSQL, MySQL, Oracle, SQLite, and more via NeoSQL Desktop.
    A
  • DB Explorer
    Read-only SQL for PostgreSQL, MySQL and SQLite: schema, safe SELECTs, EXPLAIN, index advice
    B
  • Motherduck
    SQL analytics and data engineering for AI Assistants and IDEs
    A