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Connect Weaviate to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Manage your vector database through natural conversation.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 7 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Weaviate.

  1. 01

    Get cluster nodes

    This capability pulls operational data about your Weaviate cluster nodes. Use it to check the status and resource usage of your infrastructure.

  2. 02

    Get full schema

    This capability retrieves the entire schema for your Weaviate instance. It lets your agent see every collection and property definition you have defined.

  3. 03

    List objects

    This capability lists data objects within a specific class. It supports basic pagination through a limit parameter.

  4. 04

    Get instance metadata

    This capability fetches metadata about your Weaviate instance. You can use it to check version numbers and enabled modules.

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Weaviate.

  1. 05

    Get class schema

    This capability pulls the schema definition for a single specific class. It is useful for inspecting the properties of one collection at a time.

  2. 06

    Get object details

    This capability retrieves a single data object using its UUID. Use it when you need to inspect specific metadata or internal configurations.

  3. 07

    Search near vector

    This capability performs a nearest neighbor vector similarity search. You provide a class name and a JSON array of floats to find related content.

Real work

What teams actually run

01

Query Testing

An AI developer tests how a specific vector performs against a collection of documents.

02

Schema Auditing

A data engineer checks if a new class definition matches the intended data structure.

03

Infrastructure Monitoring

An SRE checks the CPU and RAM usage of Weaviate nodes during a deployment.

04

Data Inspection

A researcher pulls a specific object by UUID to verify its metadata and properties.

Automate a task

Put Weaviate to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Weaviate works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Weaviate to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

927ms average. Fast in production.

Weaviate is checked daily against the live service.

Daily averagePeak 1163ms
Oct 3Today
Fastest day
682ms
Slowest day
1163ms
14-day trend
Slowing+24%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Weaviate, so you can see the experience inside your AI.

It does not authenticate your account with Weaviate. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Weaviate Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_ewBpKaEj3GWOCB4HdPc1Tag8b8QBrbGJDpCpFWfW/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Weaviate capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "weaviate-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ewBpKaEj3GWOCB4HdPc1Tag8b8QBrbGJDpCpFWfW/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Weaviate in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Weaviate owners hand off.

This MCP is built for technical professionals who manage or build with vector databases.

  • 01

    AI Developers

    They use the agent to test semantic queries and verify that vectors are being ingested correctly.

  • 02

    Data Engineers

    They use the agent to audit schemas and browse indexed objects within collections.

  • 03

    SRE & DevOps

    They use the agent to monitor node health and manage instance configurations.

FAQ

Questions Weaviate owners ask.

  • 01

    How do I connect my Weaviate instance?

    You subscribe to the MCP on Vinkius and enter your Weaviate Base URL and API Key. Once connected, it is ready to use in your AI client.

  • 02

    Which AI clients can I use with this MCP?

    You can use any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 03

    Can I perform similarity searches?

    Yes. You can use the search_near_vector capability to perform nearest neighbor searches using a vector array.

  • 04

    Is my data secure?

    Vinkius hosts the MCP and manages your credentials securely so your AI client can communicate with your instance.

  • 05

    Can I monitor my cluster health?

    Yes. The get_cluster_nodes capability allows your agent to retrieve operational information about your Weaviate nodes.

  • 06

    Can I perform a vector search using float arrays through the agent?

    Yes. The search_near_vector capability allows you to perform semantic searches by providing a query vector as a JSON array of floats. Your AI agent will return the most similar objects from your Weaviate collection.

  • 07

    How do I see the data structure of my Weaviate collections?

    You can use the get_full_schema capability to see all classes and properties defined in your instance, or get_class_schema if you want to focus on a specific collection's definition.

  • 08

    Is it possible to monitor cluster health via chat?

    Absolutely. Use the get_cluster_nodes capability to retrieve operational data for all nodes in your Weaviate cluster, including their current status and resource utilization metrics.

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