Tinybird Data Platform MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Tinybird Data Platform as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import 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="tinybird_data_platform_agent",
tools=tools,
system_message=(
"You help users with Tinybird Data Platform. "
"10 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 Tinybird Data Platform MCP Server
Connect your AI agent to Tinybird, the real-time data platform for developers. This integration allows you to oversee your analytical infrastructure, manage ingestion storage (Data Sources), and interact with transformation logic (Pipes) through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Tinybird Data Platform tools. Connect 10 tools through the 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
- Infrastructure Oversight — List and inspect all your Data Sources and Pipes in real-time
- Transformation Analysis — Retrieve SQL logic and nodes for any Pipe to understand how data is being processed
- Live Querying — Execute published Pipes or run arbitrary SQL queries (ClickHouse dialect) to explore your data directly via the agent
- Operational Metrics — Check ingestion stats, row counts, and storage sizes for your analytical units
- Access Control — List and audit authentication tokens and workspace configurations
The Tinybird Data Platform MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Tinybird Data Platform to AutoGen via MCP
Follow these steps to integrate the Tinybird Data Platform MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Tinybird Data Platform automatically
Why Use AutoGen with the Tinybird Data Platform MCP Server
AutoGen provides unique advantages when paired with Tinybird Data Platform through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Tinybird Data Platform tools to solve complex tasks
Role-based architecture lets you assign Tinybird Data Platform 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 Tinybird Data Platform tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Tinybird Data Platform tool responses in an isolated environment
Tinybird Data Platform + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Tinybird Data Platform MCP Server delivers measurable value.
Collaborative analysis: one agent queries Tinybird Data Platform while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Tinybird Data Platform, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Tinybird Data Platform data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Tinybird Data Platform responses in a sandboxed execution environment
Tinybird Data Platform MCP Tools for AutoGen (10)
These 10 tools become available when you connect Tinybird Data Platform to AutoGen via MCP:
execute_sql_query
Execute an arbitrary SQL query against the Tinybird workspace
get_datasource_details
Get comprehensive information for a specific Data Source
get_datasource_stats
Retrieve ingestion and usage statistics for a Data Source
get_pipe_details
Get detailed information for a specific Pipe
list_auth_tokens
Retrieve a list of all authentication tokens in the workspace
list_datasources
Retrieve a list of all Data Sources in the current workspace
list_pipe_nodes
List all SQL nodes within a specific Pipe
list_pipes
Retrieve a list of all Pipes in the current workspace
list_workspaces
Retrieve a list of available workspaces
query_pipe_data
Execute a Pipe and retrieve the results as JSON
Example Prompts for Tinybird Data Platform in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Tinybird Data Platform immediately.
"List all data sources in my Tinybird workspace."
"Run the pipe 'monthly_revenue_summary' with limit 5."
Troubleshooting Tinybird Data Platform MCP Server with AutoGen
Common issues when connecting Tinybird Data Platform to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Tinybird Data Platform + AutoGen FAQ
Common questions about integrating Tinybird Data Platform 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?
Connect Tinybird Data Platform with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Tinybird Data Platform to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
