Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@getdot-database-skills Show me the tables in my database"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Agent Skills and MCP server for GetDot Database — a fast analytical database for AI agents.
Compatible with Claude Code, GitHub Copilot, Cursor, Cline, and 18+ other AI agents.
skills/)A SKILL.md following the Agent Skills open standard. Gives AI agents the context to query GetDot Database: HTTP API, PostgreSQL wire, SQL dialect (DuckDB), data loading, time travel, and RBAC.
Install:
npx skills add zurferr/getdot-database-skillsA single query tool that executes SQL via the GetDot HTTP API. Everything is SQL — schema discovery (SHOW TABLES, DESCRIBE), data loading (read_csv_auto()), time travel (AT VERSION), and more.
Setup — add to your .mcp.json:
{
"mcpServers": {
"getdot-database": {
"command": "npx",
"args": ["-y", "github:zurferr/getdot-database-skills"],
"env": {
"GETDOT_API_TOKEN": "dot_yourorg_yourtoken"
}
}
}
}Get your token at db.getdot.ai (sign in with GitHub, free tier included).
Related MCP server: PostgreSQL MCP Server
Once connected, ask your AI agent:
"Show me the tables in my database"
"Import this CSV into a new table: https://example.com/data.csv"
"What columns does the events table have?"
"Give me a monthly count of events"
The agent will use SQL under the hood — no special API knowledge needed.
Apache-2.0
This server cannot be deployed
MCP server for querying and analyzing data from ad platforms, analytics tools, and spreadsheets
GibsonAI MCP server: manage your databases with natural language
Query your org's data in natural language — read-only MCP access to SQL, NoSQL, files & warehouses.
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
