Integrate Weaviate with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet class schema on Weaviate
Retrieves the schema definition for a specific class (collection)
Get cluster nodes on Weaviate
Retrieves operational information about the Weaviate cluster nodes
Get full schema on Weaviate
Retrieves the complete Weaviate schema (all collections)
Get instance metadata on Weaviate
Retrieves metadata about the Weaviate instance
Get object details on Weaviate
Retrieves a specific data object by its UUID
List objects on Weaviate
Supports basic pagination via limit. Lists data objects within a specific class
Search near vector on Weaviate
Provide a class name and a query vector as a JSON array of floats. Performs a nearest neighbor vector similarity search
Security & Code Integrity Audit
Every tool in the Weaviate MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Can I perform a vector search using float arrays through the agent?
Yes. The search_near_vector tool 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.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
How Chatbots Interact with Weaviate
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Weaviate infrastructure.
Seamless semantic search Integration
Integrate semantic search features into your LLM framework using Weaviate. The MCP server ensures precise command execution across your loved by devs stack.
Prompting vector embeddings Workflows
Use Weaviate to manage vector embeddings via conversational interfaces. The integration centralizes access control for loved by devs operations performed by ChatGPT.
Weaviate. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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