Can my agent perform high-speed vector similarity searches?

Yes. Provide the database, table, and the vector embedding array in JSON format. The agent uses ClickHouse's native distance functions (cosine or L2) to return the closest matches, leveraging ClickHouse's industry-leading OLAP performance.

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.

How do I check if my ClickHouse instance supports HNSW indices?

Ask your agent to get the version details. The agent checks your ClickHouse build and identifies exactly which capability branches are active, confirming if advanced vector features like HNSW support are available in your runtime environment.

ClickHouse (Vector Search) MCP Server for Cursor 7 tools — connect in under 2 minutes

Name: ClickHouse (Vector Search)
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 7 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install ClickHouse (Vector Search) and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "clickhouse-vector-search": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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DLPData protection

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<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About ClickHouse (Vector Search) MCP Server

Connect your ClickHouse cluster to any AI agent and take full control of your analytical and vector data through natural conversation.

Cursor's Agent mode turns ClickHouse (Vector Search) into an in-editor superpower. Ask Cursor to generate code using live data from ClickHouse (Vector Search) and it fetches, processes, and writes. all in a single agentic loop. 7 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Schema Management — List databases and tables, and inspect deep column schemas including specialized Array(Float32) vector types
SQL Execution — Push arbitrary DML, DDL, or SELECT queries to your cluster to manage data and generate real-time reports
Vector Search — Identify mathematical distance traces using cosineDistance or L2Distance metrics for high-dimensional semantic search
Cluster Monitoring — Extract internal structural states, row counts, and compression ratios to audit cluster health
Capability Auditing — Check instance versions and binary limits to identify exact capability branches like HNSW support

The ClickHouse (Vector Search) MCP Server exposes 7 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect ClickHouse (Vector Search) to Cursor via MCP

Follow these steps to integrate the ClickHouse (Vector Search) MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using ClickHouse (Vector Search)

Open Agent mode in chat and ask: "Using ClickHouse (Vector Search), help me...". 7 tools available

Why Use Cursor with the ClickHouse (Vector Search) MCP Server

Cursor AI Code Editor provides unique advantages when paired with ClickHouse (Vector Search) through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

ClickHouse (Vector Search) + Cursor Use Cases

Practical scenarios where Cursor combined with the ClickHouse (Vector Search) MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

ClickHouse (Vector Search) MCP Tools for Cursor (7)

These 7 tools become available when you connect ClickHouse (Vector Search) to Cursor via MCP:

describe_table

Perform structural extraction of properties driving active column schemas

execute_sql

Provision a highly-available SQL execution pushing arbitrary arbitrary DML/DDL or SELECTs

get_table_stats

Extracts explicitly attached internal structural states pulling cluster health

get_version

g. HNSW support). Identify precise active cluster limits spanning the execution runtime

list_databases

Identify bounded logical arrays managing top-level ClickHouse schemas

list_tables

Retrieve the exact structural matching verifying table limits inside a database

vector_search

Identify explicit mathematical distance traces routing Vector Embeddings

Example Prompts for ClickHouse (Vector Search) in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with ClickHouse (Vector Search) immediately.

"List all databases in my ClickHouse cluster"

"Find the top 5 most similar records in table 'embeddings' using this vector: [0.1, 0.5, -0.2]"

"Get table stats for 'analytics_prod.sales_data'"

Troubleshooting ClickHouse (Vector Search) MCP Server with Cursor

Common issues when connecting ClickHouse (Vector Search) to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

ClickHouse (Vector Search) + Cursor FAQ

Common questions about integrating ClickHouse (Vector Search) MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.