This Go-based Model Context Protocol (MCP) server acts as an intelligent intermediary, enabling AI models to programmatically manage Grist data, including organizations, workspaces, and documents. Designed as a 'for-fun' project, it facilitates seamless interaction between natural language prompts and Grist's powerful spreadsheet-database capabilities, allowing for automation of tasks like creating new documents, adding records, and querying data, though it is currently a work in progress and not production-ready.
Key Features
01Query Grist documents using SQL
02Add or retrieve records in Grist documents
030 GitHub stars
04List Grist organizations
05Create one or more documents in a workspace
06Create new workspaces within Grist
Use Cases
01Automating Grist workspace and document creation based on natural language prompts
02Building custom AI-powered applications that interact with Grist programmatically
03Integrating AI assistants for managing specific data sets within Grist (e.g., club members, assets)
