Tinybird Data Platform Connector for AI agents.
10 live capabilities
Query real-time data pipelines and manage SQL transformation logic.
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Why people use Tinybird Data Platform
Tinybird Data Platform for Real-Time Data Pipeline Debugging
With this Connector, you just ask your agent to show you the SQL nodes for a specific pipe or pull the ingestion stats for a source. You get the answers in the chat window instantly, skipping the UI navigation entirely.
What Vinkius changes
You get a chat-based command center for your real-time data infrastructure.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Debugging a broken pipe
A data engineer notices a spike in errors and asks the agent to list the SQL nodes in a specific pipe to find the broken logic using list_pipe_nodes.
- Real-world use case 02
Quick data validation
A product analyst needs to know the total revenue for today and asks the agent to run an SQL query instead of building a new dashboard.
- Real-world use case 03
Security auditing
A DevOps lead asks the agent to list all auth tokens to ensure no old keys are still active in the workspace using list_auth_tokens.
Complete set · 10capabilities
The complete Tinybird Data Platform capability set.
These are the exact actions your AI can choose when you ask it to work with Tinybird Data Platform.
01—04
4 capabilities in this set.
Part of 10 available through Tinybird Data Platform.
- 01 Capability
Execute sql query
Run an arbitrary SQL query against your Tinybird workspace to explore your data. This is useful for quick ad-hoc analysis.
- 02 Capability
Get datasource details
Get comprehensive information for a specific Data Source. Use this to check configurations and metadata.
- 03 Capability
Get pipe details
Get detailed information for a specific Pipe. This helps you understand the structure of your data flows.
- 04 Capability
List datasources
Retrieve a list of all Data Sources in your current workspace. Use this to get an overview of your ingestion points.
05—07
3 capabilities in this set.
Part of 10 available through Tinybird Data Platform.
- 05 Capability
List auth tokens
Retrieve a list of all authentication tokens in the workspace. Use this to audit your security and access.
- 06 Capability
List workspaces
Retrieve a list of available workspaces. Use this to see all environments you have access to.
- 07 Capability
Query pipe data
Execute a Pipe and retrieve the results as JSON. This is great for getting actual data outputs for your app.
08—10
3 capabilities in this set.
Part of 10 available through Tinybird Data Platform.
- 08 Capability
Get datasource stats
Retrieve ingestion and usage statistics for a Data Source. This helps you monitor performance and volume.
- 09 Capability
List pipe nodes
List all SQL nodes within a specific Pipe. This is the best way to see the exact logic of a transformation.
- 10 Capability
List pipes
Retrieve a list of all Pipes in your current workspace. Use this to see all your active data flows at once.
Set up in minutes
One URL. Then ask Tinybird Data Platform to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Tinybird Data Platform from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_e9MOySIFrTyItsoZeoVkFv0IVVN3MSGs8AJqsvq5/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Tinybird Data Platform, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Tinybird Data Platform for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_e9MOySIFrTyItsoZeoVkFv0IVVN3MSGs8AJqsvq5/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Tinybird Data Platform URL.
- Step 03
Save and start
Save the connection and enable Tinybird Data Platform in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"tinybird-data-platform": {
"url": "https://edge.vinkius.com/vk_preview_e9MOySIFrTyItsoZeoVkFv0IVVN3MSGs8AJqsvq5/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Tinybird Data Platform
Open Agent mode in chat and ask: "Using Tinybird Data Platform, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"tinybird-data-platform": {
"url": "https://edge.vinkius.com/vk_preview_e9MOySIFrTyItsoZeoVkFv0IVVN3MSGs8AJqsvq5/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Tinybird Data Platform
Ask Copilot: "Using Tinybird Data Platform, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"tinybird-data-platform": {
"url": "https://edge.vinkius.com/vk_preview_e9MOySIFrTyItsoZeoVkFv0IVVN3MSGs8AJqsvq5/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Tinybird Data Platform
Open Cascade and ask: "Using Tinybird Data Platform, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"tinybird-data-platform": {
"url": "https://edge.vinkius.com/vk_preview_e9MOySIFrTyItsoZeoVkFv0IVVN3MSGs8AJqsvq5/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Tinybird Data Platform
Ask Cline: "Using Tinybird Data Platform, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add tinybird-data-platform --transport http "https://edge.vinkius.com/vk_preview_e9MOySIFrTyItsoZeoVkFv0IVVN3MSGs8AJqsvq5/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Tinybird Data Platform
Ask Claude: "Using Tinybird Data Platform, show me...". 10 tools are ready
Where the request belongs
Work Tinybird can move forward.
Data engineers who need to debug pipelines fast, product analysts who want to skip the dashboard for quick queries, and DevOps folks keeping an eye on ingestion health.
Data Engineer
Audits pipe logic and source states during late-night deployments to find bugs quickly.
Product Analyst
Runs quick SQL queries to verify data accuracy before a meeting without building a new dashboard.
DevOps Engineer
Monitors token scopes and ingestion performance across multiple workspaces to keep things running.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsPipeStream
Streamline real-time data flows. create streams, publish events, and fetch historical data directly from your AI agent.
Hevo Data (ETL & Data Pipeline)
Manage data pipelines via Hevo. list pipelines, monitor destinations, and track usage.
Sensors Data
Orchestrate Sensors Data analytics. manage events, query user profiles, and monitor data ingestion directly from any AI agent.
Metaplane
Data observability via Metaplane. track monitors, incidents, and data quality metrics.
Integrate.io (ETL & Data Integration)
Manage data pipelines via Integrate.io. list pipelines, monitor job runs, and audit data transformations.
QuestDB (Time-Series)
High-performance time-series database for fast SQL queries, data ingestion, and real-time analytics directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Tinybird connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Tinybird.
The practical details behind the request, access and result.
Can I use the Tinybird Data Platform MCP to run SQL queries?
Yes, you can execute arbitrary SQL queries against your workspace directly through your agent. This lets you explore your data and run ad-hoc analysis without leaving your chat interface.
Does the Tinybird Data Platform MCP let me see my data pipelines?
It allows you to list all your Pipes and inspect the individual SQL nodes that make up each transformation. This is great for seeing exactly how your data is being processed.
How does the Tinybird Data Platform MCP help with data engineering?
It helps you audit your infrastructure by quickly listing sources, checking ingestion stats, and reviewing pipe logic. It streamlines the way you debug and monitor your real-time data flows.
Can I use the Tinybird Data Platform MCP to check my security tokens?
Yes, the Connector can list all authentication tokens in your workspace. This makes it easy to audit your access controls and ensure your environment is secure.
Does the Tinybird Data Platform MCP work with ClickHouse?
Yes, it supports running SQL queries using the ClickHouse dialect. This allows you to interact with your Tinybird data using the same syntax you already know.
Can I get JSON results from my Tinybird pipes?
You can execute a Pipe and receive the results back as JSON. This makes it easy to verify the final output of your data flows and use that data in your own applications.
Where do I find my Tinybird Admin Token?
Log in to your Tinybird Dashboard, select a workspace, and go to the 'Auth Tokens' section. You can use the Admin Token or create a custom one with the necessary scopes.
Which SQL dialect does Tinybird use?
Tinybird is powered by ClickHouse, so it uses the ClickHouse SQL dialect, which includes powerful functions for high-performance analytical processing.
One connection away
Give your agent a direct line to Tinybird.
Connect Tinybird once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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