QuestDB (Time-Series) MCP Server for AutoGenGive AutoGen instant access to 4 tools to Execute Sql, Export Data, Import Data, and more
GDPR Free for SubscribersMicrosoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add QuestDB (Time-Series) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The QuestDB (Time-Series) MCP Server for AutoGen 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 asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="questdb_time_series_agent",
tools=tools,
system_message=(
"You help users with QuestDB (Time-Series). "
"4 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use QuestDB (Time-Series) tools. Connect 4 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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 AutoGen via MCP
Follow these steps to wire QuestDB (Time-Series) into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the QuestDB (Time-Series) MCP Server
AutoGen provides unique advantages when paired with QuestDB (Time-Series) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use QuestDB (Time-Series) tools to solve complex tasks
Role-based architecture lets you assign QuestDB (Time-Series) tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive QuestDB (Time-Series) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes QuestDB (Time-Series) tool responses in an isolated environment
QuestDB (Time-Series) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the QuestDB (Time-Series) MCP Server delivers measurable value.
Collaborative analysis: one agent queries QuestDB (Time-Series) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from QuestDB (Time-Series), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using QuestDB (Time-Series) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process QuestDB (Time-Series) responses in a sandboxed execution environment
Example Prompts for QuestDB (Time-Series) in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting QuestDB (Time-Series) to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"QuestDB (Time-Series) + AutoGen FAQ
Common questions about integrating QuestDB (Time-Series) MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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