Tinybird
Interact with Tinybird serverless ClickHouse platform
What is Tinybird?
What is Tinybird? Tinybird is a serverless platform that allows users to interact with ClickHouse data sources, facilitating data querying and manipulation within a Tinybird Workspace. How to use Tinybird? To use the Tinybird MCP server, install it via the command line using the command npx @michaellatman/mcp-get@latest install mcp-tinybird. After installation, configure your Tinybird API URL and Admin Token to connect to your Tinybird workspace. Key features of Tinybird? Query Tinybird Data Sources using the Tinybird Query API. Make HTTP requests to leverage existing Tinybird API Endpoints. Push data files to your Tinybird environment for analysis and querying. Use cases of Tinybird? Monitoring and analyzing web analytics data through real-time metrics. Conducting business intelligence queries for performance insights. Building data processing pipelines with ease for various data sources. FAQ from Tinybird? What are the prerequisites for using Tinybird? You need a Tinybird account, Claude Desktop, and some familiarity with the Model Context Protocol (MCP). Can Tinybird be used in local development? Yes! You can set up a local development environment to interact with your Tinybird workspace. Is there documentation available? Yes, there is a comprehensive Tinybird documentation available to guide users on its features and usage.
As an MCP (Model Context Protocol) server, Tinybird enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Tinybird
To use the Tinybird MCP server, install it via the command line using the command npx @michaellatman/mcp-get@latest install mcp-tinybird. After installation, configure your Tinybird API URL and Admin Token to connect to your Tinybird workspace. Key features of Tinybird? Query Tinybird Data Sources using the Tinybird Query API. Make HTTP requests to leverage existing Tinybird API Endpoints. Push data files to your Tinybird environment for analysis and querying. Use cases of Tinybird? Monitoring and analyzing web analytics data through real-time metrics. Conducting business intelligence queries for performance insights. Building data processing pipelines with ease for various data sources. FAQ from Tinybird? What are the prerequisites for using Tinybird? You need a Tinybird account, Claude Desktop, and some familiarity with the Model Context Protocol (MCP). Can Tinybird be used in local development? Yes! You can set up a local development environment to interact with your Tinybird workspace. Is there documentation available? Yes, there is a comprehensive Tinybird documentation available to guide users on its features and usage.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Tinybird can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Tinybird provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.