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 VS Code Copilot 7 tools — connect in under 2 minutes

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

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 7 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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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.

GitHub Copilot Agent mode brings ClickHouse (Vector Search) data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 7 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot via MCP

Follow these steps to integrate the ClickHouse (Vector Search) MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using ClickHouse (Vector Search)

Ask Copilot: "Using ClickHouse (Vector Search), help me..." — 7 tools available

Why Use VS Code Copilot with the ClickHouse (Vector Search) MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with ClickHouse (Vector Search) through the Model Context Protocol.

VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

ClickHouse (Vector Search) + VS Code Copilot Use Cases

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

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

ClickHouse (Vector Search) MCP Tools for VS Code Copilot (7)

These 7 tools become available when you connect ClickHouse (Vector Search) to VS Code Copilot 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 VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot

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

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

ClickHouse (Vector Search) + VS Code Copilot FAQ

Common questions about integrating ClickHouse (Vector Search) MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.