Understand vector database structure, relationships, and schema. Explore collections, properties, cross-references, and understand how your vector database is organized.
This MCP Bundle Server is compatible with any MCP client including Claude Desktop, Cursor, and other Model Context Protocol implementations.
Create a new Weaviate collection with custom schema. Define properties, data types, and optionally configure a vectorizer for automatic embedding gene...
Find collections that have no objects (empty collections). Useful for identifying collections that can be safely removed or need to be populated.
Analyze cross-reference relationships between collections. Shows which collections reference which other collections, similar to foreign key relations...
Analyze property usage in a collection. Shows which properties are consistently populated vs frequently null/empty. Useful for understanding data comp...
Get a graph of cross-references between collections. Shows which collections reference each other and how.
Get comprehensive schema information for a collection including properties, data types, vectorizer configuration, indexes, and module settings.
List all Weaviate collections with rich filtering options. Supports pattern matching, schema inclusion, object counts, and pagination. Use this for co...
Validate objects against collection schema definition. Checks if objects have all required properties and correct data types.
Connect this Schema & Structure MCP Bundle Server to any MCP client in minutes
Compatible with Claude Desktop, Cursor, and all Model Context Protocol clients
Model Context Protocol lets AI tools call external capabilities securely through a single URL. This bundle groups tools behind an MCP endpoint that many clients can use.
Skip the manual setup! Use the .mcpb file format for one-click installation. Check the Claude Desktop tab for setup instructions.
Select ChatGPT, Cursor, Claude Code, or another tab for copy-paste config.