DBHub Analytics
Let your agent run SQL and explore schemas across Postgres, MySQL, BigQuery, Databricks, and other engines from one MCP server while you build analytics features or debug data.
Overview
DBHub Analytics is a MCP server for the Build phase that connects coding agents to Databricks, BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, and MariaDB for SQL analytics.
What is this MCP server?
- Single npm MCP server (dbhub-analytics v0.2.0) with stdio transport
- Supports Databricks, BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, MariaDB
- Configure via DSN or discrete DB_TYPE, host, port, user, password, name env vars
- Secrets flagged for DSN and DB_PASSWORD in the manifest
- Lets agents query and analyze without hand-rolling per-DB MCP servers
- MCP version 0.2.0; npm identifier dbhub-analytics
- 7 database types listed: Databricks, BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, MariaDB
- Stdio transport; DSN and DB_PASSWORD marked secret in manifest
What problem does it solve?
Your agent cannot safely reach production or staging data without a standardized MCP bridge, so you copy-paste query results and break flow.
Who is it for?
Solo builders shipping data-backed SaaS who want one MCP server for multiple SQL engines during integration and exploration.
Skip if: Users who need write-free read replicas only via a managed GUI, or teams forbidding agent access to production credentials.
What do I get? / Deliverables
After configuring DSN or DB_* variables and registering stdio MCP, your agent can run warehouse-appropriate SQL and analytics tasks from the IDE.
- Agent-driven SQL queries across supported DB types
- Faster schema discovery during backend and analytics build
- One MCP config replacing multiple single-database servers
Recommended MCP Servers
Journey fit
Database connectivity lands in build when you integrate backends, warehouses, and reporting—not in launch or growth marketing. integrations is the canonical shelf because DBHub is a multi-database MCP bridge, not a standalone monitoring or SEO tool.
How it compares
Multi-engine database MCP integration, not a hosted BI dashboard or a one-off Postgres-only skill.
Common Questions / FAQ
Who is DBHub Analytics for?
Developers and indie founders using MCP agents who need SQL access across common OLTP and warehouse databases from one server.
When should I use DBHub Analytics?
Use it while building backend, analytics, or reporting features when you want the agent to query real schemas instead of mocking data.
How do I add DBHub Analytics to my agent?
Install npm `dbhub-analytics` 0.2.0, set DSN or DB_TYPE/DB_HOST/DB_PORT/DB_USER/DB_PASSWORD/DB_NAME, and add the stdio MCP entry in Claude Code or your client.