Keboola Explorer MCP Server

{ "type": "object", "title": "Vector Store Configuration", "required": [ "text_column" ], "properties": { "_metadata_": { "type": "object", "options": { "hidden": true }, "properties": { "table": { "type": "object", "properties": { "id": { "type": "string" }, "name": { "type": "string" }, "columns": { "type": "array" }, "primaryKey": { "type": "array" } } } } }, "destination": { "type": "object", "title": "Destination", "options": [], "required": [ "collection_name" ], "properties": { "load_type": { "enum": [ "full_load", "incremental_load" ], "type": "string", "title": "Load Type", "format": "checkbox", "default": "full_load", "options": { "enum_titles": [ "Full Load", "Incremental Load" ] }, "description": "If Full load is used, the destination table will be overwritten every run. If incremental load is used, data will be upserted into the destination table. Tables with a primary key will have rows updated, tables without a primary key will have rows appended.", "propertyOrder": 30 }, "primary_key": { "type": "string", "title": "Primary Key Column", "watch": { "columns": "_metadata_.table.columns" }, "options": { "dependencies": { "load_type": "incremental_load" } }, "required": false, "enumSource": "columns", "description": "Choose a column to use as unique identifier for upserts.", "propertyOrder": 30 }, "collection_name": { "type": "string", "title": "Collection Name", "default": "keboola_embeddings", "propertyOrder": 10 }, "metadata_columns": { "type": "array", "items": { "type": "string", "title": "Column Name", "watch": { "columns": "_metadata_.table.columns" }, "enumSource": "columns" }, "title": "Metadata Columns", "format": "select", "options": { "tags": true }, "required": false, "description": "Choose columns to save to the vector store database as metadata.", "uniqueItems": true, "propertyOrder": 20 } }, "propertyOrder": 300 }, "text_column": { "type": "string", "title": "Embed column name", "watch": { "columns": "_metadata_.table.columns" }, "required": true, "enumSource": "columns", "description": "Choose a column to embed data", "propertyOrder": 1 }, "advanced_options": { "type": "object", "title": "Advanced Options", "properties": { "batch_size": { "type": "integer", "title": "Batch Size", "default": 100, "maximum": 1000, "minimum": 1, "description": "Number of texts to process in one batch", "propertyOrder": 20 }, "enable_chunking": { "type": "boolean", "title": "Enable Text Chunking", "format": "checkbox", "default": false, "description": "Split long texts into smaller chunks before embedding", "propertyOrder": 30 }, "chunking_settings": { "type": "object", "title": "Chunking Settings", "options": { "dependencies": { "enable_chunking": true } }, "properties": { "chunk_size": { "type": "integer", "title": "Chunk Size", "default": 1000, "maximum": 8000, "minimum": 100, "description": "Maximum number of characters in each chunk", "propertyOrder": 50 }, "chunk_overlap": { "type": "integer", "title": "Chunk Overlap", "default": 100, "maximum": 1000, "minimum": 0, "description": "Number of characters to overlap between chunks", "propertyOrder": 60 }, "chunk_strategy": { "enum": [ "character", "sentence", "word", "paragraph" ], "type": "string", "title": "Chunking Strategy", "default": "paragraph", "options": { "tooltip": "Paragraph is recommended for most use cases" }, "description": "How to split the text into chunks", "propertyOrder": 70 } }, "propertyOrder": 40 } }, "propertyOrder": 200 } } }