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Schema & Structure MCP Server

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Understand vector database structure, relationships, and schema. Explore collections, properties, cross-references, and understand how your vector database is organized.

Managed
8 tools
Agent guide included

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AI Skill
SKILL.md

Domain knowledge for Schema & Structure — workflow patterns, data models, and gotchas for your AI agent.

Weaviate — Schema & Structure

Inspect detailed class definitions, create collections, map cross-reference graphs, surface dormant collections, review property usage, and run compliance checks against declared schemas.

Tools in this Server (8)

Weaviate Create Collection

Create a new Weaviate collection with custom schema. Define properties, data types, and optionally configure a vectorizer for automatic embedding gene...

Weaviate Find Unused Collections

Find collections that have no objects (empty collections). Useful for identifying collections that can be safely removed or need to be populated.

Weaviate Get Cross References

Analyze cross-reference relationships between collections. Shows which collections reference which other collections, similar to foreign key relations...

Weaviate Get Property Usage

Analyze property usage in a collection. Shows which properties are consistently populated vs frequently null/empty. Useful for understanding data comp...

Weaviate Get Reference Graph

Get a graph of cross-references between collections. Shows which collections reference each other and how.

Weaviate Get Schema Detailed

Get full schema information for a collection including properties, data types, vectorizer configuration, indexes, and module settings.

Weaviate List Collections

List all Weaviate collections with rich filtering options. Supports pattern matching, schema inclusion, object counts, and pagination. Use this for co...

Weaviate Validate Schema Compliance

Validate objects against collection schema definition. Checks if objects have all required properties and correct data types.

Frequently Asked Questions

What is the Schema & Structure MCP server?

Understand vector database structure, relationships, and schema. Explore collections, properties, cross-references, and understand how your vector database is organized. It provides 8 tools that AI agents can use through the Model Context Protocol (MCP).

How do I connect Schema & Structure to my AI agent?

Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/weaviate-schema-management. Authentication is handled automatically.

How many tools does Schema & Structure provide?

Schema & Structure provides 8 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.

What authentication does Schema & Structure require?

Schema & Structure uses API Key. Weaviate requires credentials. Connect via MCPBundles and authentication is handled automatically.

Setup Instructions

Connect Schema & Structure to any MCP client in minutes

https://mcp.mcpbundles.com/bundle/weaviate-schema-management

One-click install:

The link prefills the Add custom connector dialog — you still review the values and click Add, then Connect to complete OAuth.

Or add manually

  1. Open claude.ai → Settings → Connectors.
  2. Click the + button and choose Add custom connector.
  3. Set Name to Schema & Structure and paste the MCP URL into Remote MCP server URL.
  4. Click Add. Schema & Structure will appear under Not connected — select it and click Connect to complete OAuth.
Name: Schema & Structure
Remote MCP server URL: https://mcp.mcpbundles.com/bundle/weaviate-schema-management
Authentication: OAuth

Custom connectors at claude.ai require a paid Claude plan (Pro, Max, Team, or Enterprise).

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