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Integrate Weaviate MCP with your AI CRM

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

Explore Triggers and Actions

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.

ActionTry it

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.

ActionTry it

How the Weaviate MCP integration works

The Weaviate MCP integration connects your Dench AI CRM directly to Weaviate MCP, so agents can read and act on your Weaviate MCP data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.

2 actions are available for agents to invoke on your behalf. Every call runs through Weaviate MCP's own authorization, scoped to the account you connect.

Set up Weaviate MCP in Dench

  1. 1

    Sign in to your Dench workspace and open Integrations.

  2. 2

    Find Weaviate MCP and click Connect — you'll authorize access through Weaviate MCP's own sign-in flow. No API keys or code required.

  3. 3

    Ask an agent to use Weaviate MCP in chat, or call it from an automation.

  4. 4

    Manage or disconnect the connection any time from workspace settings.

Frequently asked questions

How does the Weaviate MCP integration work with Dench?

The Dench Weaviate MCP integration connects your AI CRM to Weaviate MCP, so AI agents can work with your Weaviate MCP data as part of chats, automations, and CRM workflows. You connect your account once, and every agent in your workspace can use it — governed by your workspace permissions.

What actions can AI agents perform with Weaviate MCP via Dench?

The Weaviate MCP integration currently exposes 2 actions, including Query agent ask, and Query agent search. Agents invoke them on your behalf from chat or from automations.

Do I need to write code to connect Weaviate MCP to Dench?

No. You connect Weaviate MCP from your Dench workspace using Weaviate MCP's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.

Is the Weaviate MCP integration secure?

Connections are authorized through Weaviate MCP's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the Weaviate MCP connection from your workspace settings at any time.

Weaviate MCP | Dench AI CRM