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 AutoGen 7 tools — connect in under 2 minutes

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

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 7 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add ClickHouse (Vector Search) as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="clickhouse_vector_search_agent",
            tools=tools,
            system_message=(
                "You help users with ClickHouse (Vector Search). "
                "7 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use ClickHouse (Vector Search) tools. Connect 7 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

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

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 7 tools from ClickHouse (Vector Search) automatically

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

AutoGen provides unique advantages when paired with ClickHouse (Vector Search) through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use ClickHouse (Vector Search) tools to solve complex tasks

Role-based architecture lets you assign ClickHouse (Vector Search) tool access to specific agents — a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive ClickHouse (Vector Search) tool calls

Code execution sandbox: AutoGen agents can write and run code that processes ClickHouse (Vector Search) tool responses in an isolated environment

ClickHouse (Vector Search) + AutoGen Use Cases

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

Collaborative analysis: one agent queries ClickHouse (Vector Search) while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from ClickHouse (Vector Search), a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using ClickHouse (Vector Search) data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process ClickHouse (Vector Search) responses in a sandboxed execution environment

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

These 7 tools become available when you connect ClickHouse (Vector Search) to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

ClickHouse (Vector Search) + AutoGen FAQ

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

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call ClickHouse (Vector Search) tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.