The Tilebox Model Context Protocol server connects AI assistants to live operational data. This demo shows how tools such as Claude Code and Cursor query Tilebox in real time rather than relying on general knowledge alone.
Read the accompanying article: Connecting AI Assistants with Tilebox.
Transcript
0:04 Managing satellite data often requires switching between API documentation, the Tilebox console, and your development environment. The Tilebox MCP server integrates this context directly into your workflow. It allows you to query your data catalog and job states without leaving your editor.
0:34 The server handles authentication, which enables the agent to query your live satellite data catalog securely. By using natural language, you can retrieve your available datasets and their metadata in real time.
0:52 Let’s query what is the schema for Sentinel-2.
1:02 The Tilebox MCP server provides access to both dataset schemas and official documentation. It identifies available bands and indices and retrieves context-aware code snippets. This ensures that the code that’s generated is technically accurate and uses correct parameters.
1:22 For example, data.cloud_cover references the—the cloud cover here that’s part of the schema of the metadata.
1:32 Because the server has direct access to Tilebox technical specifications, it verifies parameters against the live API. This reduces manual lookups in the console and docs and minimizes config errors during pipeline development.
1:49 The Tilebox MCP server is available right now. You can use the link below or docs.tilebox.com/ai-assistants to integrate your satellite data into your development environment.