QuestDB (Time-Series) MCP Server for Mastra AIGive Mastra AI instant access to 4 tools to Execute Sql, Export Data, Import Data, and more
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect QuestDB (Time-Series) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this MCP Server for Mastra AI
The QuestDB (Time-Series) MCP Server for Mastra AI is a standout in the Databases category — giving your AI agent 4 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"questdb-time-series": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "QuestDB (Time-Series) Agent",
instructions:
"You help users interact with QuestDB (Time-Series) " +
"using 4 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with QuestDB (Time-Series)?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About QuestDB (Time-Series) MCP Server
Connect your QuestDB instance to any AI agent to perform high-speed time-series analysis and data management using natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and QuestDB (Time-Series) tool infrastructure. Connect 4 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- SQL Execution — Run complex SQL queries, DDL, and DML operations optimized for time-series data.
- High-Speed Ingestion — Import tabular data (CSV/TSV) directly into tables with automatic schema creation and partitioning.
- Data Export — Extract large datasets in CSV or Parquet formats for external analysis or reporting.
- Health Monitoring — Instantly check server status and version information to ensure your database is operational.
The QuestDB (Time-Series) MCP Server exposes 4 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 4 QuestDB (Time-Series) tools available for Mastra AI
When Mastra AI connects to QuestDB (Time-Series) through Vinkius, your AI agent gets direct access to every tool listed below — spanning time-series, sql, data-ingestion, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Execute sql on QuestDB (Time-Series)
Use this for standard SELECT, INSERT, or DDL operations. Execute SQL statements (queries, DDL, DML) on QuestDB
Export data on QuestDB (Time-Series)
Useful for extracting large datasets. Export query results as CSV or Parquet
Import data on QuestDB (Time-Series)
Automatically creates tables and columns if they do not exist. Import tabular data (CSV, TSV) into a table
Ping on QuestDB (Time-Series)
Health check and version information
Connect QuestDB (Time-Series) to Mastra AI via MCP
Follow these steps to wire QuestDB (Time-Series) into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the QuestDB (Time-Series) MCP Server
Mastra AI provides unique advantages when paired with QuestDB (Time-Series) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add QuestDB (Time-Series) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every QuestDB (Time-Series) tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
QuestDB (Time-Series) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the QuestDB (Time-Series) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query QuestDB (Time-Series), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed QuestDB (Time-Series) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query QuestDB (Time-Series) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using QuestDB (Time-Series) tools alongside other MCP servers
Example Prompts for QuestDB (Time-Series) in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with QuestDB (Time-Series) immediately.
"Check if the QuestDB server is online and show me the version."
"Execute a query to find the average temperature from the 'sensors' table for the last hour."
"Export the last 1000 rows of the 'trades' table as a CSV file."
Troubleshooting QuestDB (Time-Series) MCP Server with Mastra AI
Common issues when connecting QuestDB (Time-Series) to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpQuestDB (Time-Series) + Mastra AI FAQ
Common questions about integrating QuestDB (Time-Series) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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