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Ask natural-language questions and run AI-powered searches over your Weaviate Cloud collections through the provider-hosted Query Agent MCP server.

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01 · WHAT THE AGENT CAN DO

Actions

Every capability is a discrete, logged action the agent calls by name — scoped to what you authorize and recorded in the run trace.

Query agent askWEAVIATE_MCP_QUERY_AGENT_ASK
Ask Mode transforms your query into actionable searches or aggregations, and then provides a final answer to the question. For example, you could ask: "How many orders related to books were placed last week?" And the agent will filter for orders, perform semantic search for books and sort or filter for timestamps from the last week. Then, the agent will provide a response, answering this question exactly based on the data retrieved. The result always carries final_answer. When result_evaluation is 'llm', it additionally carries is_partial_answer (whether information the query asked for is missing from the answer), missing_information (what exactly could not be found in the data), and sources (the retrieved objects the answer actually drew on). Queries the collections named in the request within your connected Weaviate Cloud cluster. Use collection names from your own cluster; access follows the connected API key permissions.
Query agent searchWEAVIATE_MCP_QUERY_AGENT_SEARCH
Search Mode combines AI-powered semantic search with structured filtering and returns the matching Weaviate objects directly. For example, you could ask: "Find me some vintage shoes under $70" And the agent will perform semantic search for vintage shoes, apply a filter for price < 70, and return the matching objects from your collections, ready for you to render or post-process. You could also ask: "Something comfortable to wear on a long flight" And the agent will use AI-powered search to find relevant objects, even when terms like comfortable or long flight never appear in your data. Under the hood, Search Mode does more than embed your query as-is. The agent writes one or more optimized semantic and structured queries, executes them against your collections, and reranks the retrieved objects by how well each one matches your original request. The result's `results` field lists the matching objects in rank order (best match first), each as a dict of property names to values. Queries the collections named in the request within your connected Weaviate Cloud cluster. Use collection names from your own cluster; access follows the connected API key permissions.