- HEALTH
- VOLUME
- SCHEMA
- HUMAN
Short answer
How can I audit my Tinybird data ingestion using AI?
Your AI pulls real-time row counts and datasource metadata to identify ingestion gaps or stalled pipelines. You get a clear view of your data health through direct queries of your Tinybird environment. This allows you to spot missing rows or schema changes instantly.
Where every issue lands.
Audit outcomes
The AI categorizes your ingestion status into these four areas.
HEALTH
Pipeline status
The AI checks if data is flowing into your sources. You get a clear signal on whether ingestion is active or stalled.
VOLUME
Row count drift
Your agent compares current row counts against expected patterns. This identifies if a source is under-reporting data.
SCHEMA
Structure changes
The AI reviews datasource details to find unexpected field changes. You'll know if a schema update broke your downstream logic.
HUMAN
Manual intervention
When the AI finds a mismatch it can't resolve, it flags the specific datasource for you. You decide how to fix the underlying pipeline.
The workflow
What your AI does when the data arrives.
The AI acts as a continuous observer for your Tinybird environment.
Inventory sources
The AI scans your entire Tinybird environment to find all active data sources.
list_datasourcesInspect metadata
It looks at the specific configuration and schema for a selected source.
get_datasource_detailsCheck volume
The agent pulls the latest ingestion statistics to verify row counts.
get_datasource_statsReport anomalies
The AI compares the stats against your requirements and flags any discrepancies.
get_datasource_stats
Try it
Copy these to start.
Use these prompts to begin your audit.
Starting points
Swap the bracketed names for your actual Tinybird datasource names.
Tinybird Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_e9MOySIFrTyItsoZeoVkFv0IVVN3MSGs8AJqsvq5/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Tinybird capabilities are ready to use.
{
"mcpServers": {
"tinybird-data-platform-mcp": {
"url": "https://edge.vinkius.com/vk_preview_e9MOySIFrTyItsoZeoVkFv0IVVN3MSGs8AJqsvq5/mcp"
}
}
}List all my Tinybird datasources and tell me which ones were updated recently.
Check the ingestion stats for the 'user_events' datasource and tell me if the row count looks healthy.
Get the details for 'clickstream_data' and check if the schema matches my expected format.
Are there any datasources in Tinybird where the ingestion stats show a sudden drop in row counts?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Tinybird once, then ask.
Enter your Tinybird credentials once. Your connection is encrypted, and you can immediately start auditing your data through any MCP-compatible client.
Connect Tinybird to your AIFAQ
Common questions
- 01
Can the AI fix a broken ingestion pipeline?
No. The AI can only read stats and details to tell you what is wrong. You must manually fix the pipeline in Tinybird.
- 02
Can the AI delete a datasource?
No. This MCP only has read access to your data stats and metadata. It cannot delete or modify your Tinybird resources.
- 03
How often does the AI check the data?
The AI only checks the data when you ask it to via a prompt. It does not run autonomous background loops.
- 04
Does the AI see my actual raw data rows?
No. The AI uses tools to see metadata and aggregate statistics like row counts, not the individual records within the rows.
- 05
Can I use this with Claude?
Yes, as long as you are using an MCP-compatible client like Claude Desktop.
More questions about Tinybird? The Connector page answers them. See everything the Tinybird Connector can do
Connect Tinybird to Claude, Cursor, ChatGPT & more
