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MCP server for Databricks, BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, MariaDB
DBHub Analytics is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding DBHub Analytics to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
npx -y dbhub-analytics@0.2.0Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-04-02T18:58:43.246124Z",
"publishedAt": "2026-04-02T18:58:43.246124Z",
"statusChangedAt": "2026-04-02T18:58:43.246124Z"
}
},
"server": {
"name": "io.github.amansingh63/dbhub-analytics",
"title": "DBHub Analytics",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.2.0",
"packages": [
{
"version": "0.2.0",
"transport": {
"type": "stdio"
},
"identifier": "dbhub-analytics",
"registryType": "npm",
"environmentVariables": [
{
"name": "DSN",
"format": "string",
"isSecret": true,
"description": "Database connection string (e.g., postgres://user:pass@host:5432/db)"
},
{
"name": "DB_TYPE",
"format": "string",
"description": "Database type: postgres, mysql, mariadb, sqlserver, sqlite, databricks, bigquery"
},
{
"name": "DB_HOST",
"format": "string",
"description": "Database hostname"
},
{
"name": "DB_PORT",
"format": "number",
"description": "Database port"
},
{
"name": "DB_USER",
"format": "string",
"description": "Database username"
},
{
"name": "DB_PASSWORD",
"format": "string",
"isSecret": true,
"description": "Database password"
},
{
"name": "DB_NAME",
"format": "string",
"description": "Database name or SQLite file path"
},
{
"name": "TRANSPORT",
"format": "string",
"description": "Transport mode: stdio or http"
},
{
"name": "PORT",
"format": "number",
"description": "HTTP server port (default: 8080)"
},
{
"name": "ID",
"format": "string",
"description": "Instance identifier for tool names"
},
{
"name": "SSH_HOST",
"format": "string",
"description": "SSH server hostname"
},
{
"name": "SSH_PORT",
"format": "number",
"description": "SSH server port (default: 22)"
},
{
"name": "SSH_USER",
"format": "string",
"description": "SSH username"
},
{
"name": "SSH_PASSWORD",
"format": "string",
"isSecret": true,
"description": "SSH password"
},
{
"name": "SSH_KEY",
"format": "string",
"description": "Path to SSH private key"
},
{
"name": "SSH_PASSPHRASE",
"format": "string",
"isSecret": true,
"description": "SSH key passphrase"
}
]
}
],
"repository": {
"url": "https://github.com/amansingh63/dbhub-analytics",
"source": "github"
},
"description": "MCP server for Databricks, BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, MariaDB"
}
}