Enables analysis of Bluesky data through integration with Tinybird, as demonstrated in usage examples including metrics visualization.
Supports ClickHouse query analysis through the analyze-pipe tool, which provides optimization suggestions for query performance, indexes, sorting keys, and partition keys.
Provides compatibility with Grafana for monitoring the MCP server through Prometheus clients.
Enables monitoring of the MCP server using Prometheus-compatible clients.
Supports publishing the MCP package to PyPI for distribution, with credential handling via environment variables or command flags.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Tinybird MCP servershow me the top 10 products by sales this week"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🚨 DEPRECATED
This repository is deprecated and no longer maintained.
New implementation: Tinybird MCP Server
Please migrate to the official implementation.
Resources
Looking for Admin?
Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.