lightdash-mcp-server
A MCP(Model Context Protocol) server that accesses to Lightdash
What is lightdash-mcp-server?
What is lightdash-mcp-server? lightdash-mcp-server is a Model Context Protocol (MCP) server that provides access to Lightdash's API, enabling AI assistants to interact with Lightdash data through a standardized interface. How to use lightdash-mcp-server? To use lightdash-mcp-server, install it via npm, configure your Lightdash API credentials in a .env file, and start the server using the provided commands. Key features of lightdash-mcp-server? MCP-compatible access to Lightdash's API Tools for listing projects, spaces, charts, and dashboards Ability to retrieve custom metrics and catalogs Support for running examples and development scripts Use cases of lightdash-mcp-server? Integrating AI assistants with Lightdash for data analysis. Automating project management tasks within Lightdash. Accessing and manipulating Lightdash data programmatically. FAQ from lightdash-mcp-server? How do I install lightdash-mcp-server? You can install it using npm with the command: npm install lightdash-mcp-server. What do I need to configure? You need to create a .env file with your Lightdash API key and URL. Can I run examples? Yes! You can run example scripts provided in the examples directory after setting the required environment variables.
As an MCP (Model Context Protocol) server, lightdash-mcp-server 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 lightdash-mcp-server
To use lightdash-mcp-server, install it via npm, configure your Lightdash API credentials in a .env file, and start the server using the provided commands. Key features of lightdash-mcp-server? MCP-compatible access to Lightdash's API Tools for listing projects, spaces, charts, and dashboards Ability to retrieve custom metrics and catalogs Support for running examples and development scripts Use cases of lightdash-mcp-server? Integrating AI assistants with Lightdash for data analysis. Automating project management tasks within Lightdash. Accessing and manipulating Lightdash data programmatically. FAQ from lightdash-mcp-server? How do I install lightdash-mcp-server? You can install it using npm with the command: npm install lightdash-mcp-server. What do I need to configure? You need to create a .env file with your Lightdash API key and URL. Can I run examples? Yes! You can run example scripts provided in the examples directory after setting the required environment variables.
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 lightdash-mcp-server 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 lightdash-mcp-server 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.