Connect your account, then chat with AI to run tools.
Browse, search, and explore vector data in collections. Find objects, perform semantic searches, sample data, and understand what's in your vector database.
Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.
Browse all toolsDomain knowledge for Data Exploration — workflow patterns, data models, and gotchas for your AI agent.
Run semantic retrieval, page through objects, draw samples, mix lexical filters with vectors, compare two collections side by side, and export snapshots for offline analysis.
Universal fetch tool that retrieves any object, schema, or metadata using smart ID routing with colon-separated format. Supports direct object retriev...
Search Weaviate vector store using hybrid semantic + keyword search or BM25. Returns ranked results with IDs, titles, and scores.
Compare two collections to find differences in schemas, object counts, and configurations. Useful for validating migrations or understanding related c...
Export collection data including vectors, properties, and metadata for backup or migration.
Perform hybrid search combining semantic vector search with keyword matching. Hybrid search combines BM25 keyword search with vector similarity.
List all Weaviate collections with rich filtering options. Supports pattern matching, schema inclusion, object counts, and pagination. Use this for co...
Browse objects in a collection with rich filtering, sorting, pagination, and property selection. The workhorse tool for exploring data with granular c...
Get representative sample objects from a collection. Useful for quick inspection and understanding data structure without fetching all objects.
Browse, search, and explore vector data in collections. Find objects, perform semantic searches, sample data, and understand what's in your vector database. It provides 8 tools that AI agents can use through the Model Context Protocol (MCP).
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-data-exploration. Authentication is handled automatically.
Data Exploration 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.
Data Exploration uses API Key. Weaviate requires credentials. Connect via MCPBundles and authentication is handled automatically.
Connect Data Exploration to any MCP client in minutes
https://mcp.mcpbundles.com/bundle/weaviate-data-explorationThe link prefills the Add custom connector dialog — you still review the values and click Add, then Connect to complete OAuth.
Data Exploration and paste the MCP URL into Remote MCP server URL.Custom connectors at claude.ai require a paid Claude plan (Pro, Max, Team, or Enterprise).
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