Weaviate

Weaviate is an open-source vector database for AI-native applications

This Weaviate MCP server is compatible with any MCP client including Claude Desktop, Cursor, and other Model Context Protocol implementations.

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Tools From This Provider (25)

Weaviate Compare Collections

Compare two collections to find differences in schemas, object counts, and configurations. Useful for validating migrations or understanding related collections.

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Weaviate Batch Delete

Delete multiple objects matching a filter condition. DESTRUCTIVE operation with safety limits. Requires explicit confirmation and WHERE filter to prevent accidental mass deletion.

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Weaviate Copy Objects

Copy objects between collections. Useful for data migration, creating backups, or duplicating data for testing. Optionally preserves or regenerates vectors.

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Weaviate Profile Collection

Generate comprehensive collection profile with statistics on object count, properties, vectors, and overall health. Essential starting point for understanding a collection's contents.

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Weaviate Analyze Property Distribution

Analyze distribution of values for a specific property. Shows top values, uniqueness, null rate, and statistics. Essential for understanding data patterns and quality.

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Weaviate Analyze Vector Distribution

Analyze vector embeddings distribution. Shows dimensionality, magnitude statistics, density, and similarity patterns. Critical for understanding embedding quality.

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Weaviate Sample Objects

Get representative sample objects from a collection. Useful for quick inspection and understanding data structure without fetching all objects.

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Weaviate Get Schema Detailed

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

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Weaviate Create Collection

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

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Weaviate Get Cross References

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

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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.

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Weaviate Get Property Usage

Analyze property usage in a collection. Shows which properties are consistently populated vs frequently null/empty. Useful for understanding data completeness and identifying unused schema fields.

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Weaviate Find Missing Vectors

Find objects without vector embeddings. Critical for debugging semantic search issues - objects without vectors won't appear in similarity searches.

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Weaviate Find Duplicates

Find near-duplicate objects using vector similarity. Helps identify redundant data and potential data quality issues from duplicate imports.

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Weaviate Validate Properties

Validate property completeness and quality. Find objects with null, missing, or empty required properties. Essential for data quality monitoring.

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Weaviate Check Vector Quality

Check vector quality for corruption issues. Detects zero vectors, NaN values, and vectors with abnormal magnitude. Critical for maintaining search quality.

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Weaviate Data Quality Report

Generate comprehensive data quality report. Combines vector quality, property completeness, duplicates, and collection health into a single report with actionable recommendations.

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Weaviate Batch Import

Import multiple objects in batch. Optimized for bulk loading with automatic error handling, retry logic, and progress reporting. Much faster than individual inserts.

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Weaviate Batch Update

Update multiple objects matching a filter condition. Useful for bulk status changes, migrations, or data corrections. Includes safety limits to prevent accidental mass updates.

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Fetch

Universal fetch tool that retrieves any object, schema, or metadata using smart ID routing with colon-separated format. Supports direct object retrieval, schema inspection, and collection metadata.

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Weaviate List Collections

List all Weaviate collections with rich filtering options. Supports pattern matching, schema inclusion, object counts, and pagination. Use this for collection discovery and understanding your data...

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Weaviate List Objects

Browse objects in a collection with rich filtering, sorting, pagination, and property selection. The workhorse tool for exploring data with granular control over what's returned. Supports search...

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Weaviate Upsert

Insert or update objects in Weaviate. Data is ALWAYS an array - use [obj] for single items, [obj1, obj2, ...] for batch. Provide ids array for updates, omit for inserts. Automatically optimizes batch...

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Weaviate Delete

Delete object(s) or entire collection from Weaviate. Supports three modes: single object deletion, bulk deletion with failure tracking, and collection removal. All deletions are permanent and cannot...

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