Integrate ClickHouse (Vector Search) with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiDescribe table on ClickHouse (Vector Search)
Perform structural extraction of properties driving active column schemas
Execute sql on ClickHouse (Vector Search)
Provision a highly-available SQL execution pushing arbitrary arbitrary DML/DDL or SELECTs
Get table stats on ClickHouse (Vector Search)
Extracts explicitly attached internal structural states pulling cluster health
Get version on ClickHouse (Vector Search)
g. HNSW support). Identify precise active cluster limits spanning the execution runtime
List databases on ClickHouse (Vector Search)
Identify bounded logical arrays managing top-level ClickHouse schemas
List tables on ClickHouse (Vector Search)
Retrieve the exact structural matching verifying table limits inside a database
Vector search on ClickHouse (Vector Search)
Identify explicit mathematical distance traces routing Vector Embeddings
Security & Code Integrity Audit
Every tool in the ClickHouse (Vector Search) 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 execute arbitrary SQL commands directly through the agent?
Absolutely. The 'execute_sql' tool allows you to push any valid ClickHouse SQL (DML, DDL, or SELECT) to your cluster. This is perfect for managing tables, updating records, or generating custom analytical reports on the fly.
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.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
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.
Triggering ClickHouse (Vector Search) via Natural Language
Use ClickHouse (Vector Search) with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
Execute olap Commands with AI
The ClickHouse (Vector Search) toolkit translates Claude's commands into olap operations. The MCP server ensures accurate delivery within the ai frontier ecosystem.
Prompting vector embeddings Workflows
Use ClickHouse (Vector Search) to manage vector embeddings via conversational interfaces. The integration centralizes access control for ai frontier operations performed by ChatGPT.
ClickHouse (Vector Search). 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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