# How MCP Toolbox turns agent text into ClickHouse vectors

DevFeed: [How MCP Toolbox turns agent text into ClickHouse vectors](<https://devfeed.tech/articles/how-mcp-toolbox-turns-agent-text-into-clickhouse-vectors-5411.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/mcp-toolbox-clickhouse-vectors>)

Author: Pete Hampton

Published: 2026-09-07T09:00:00Z

Content type: tutorial

Language: en

Sources: [ClickHouse Blog](<https://devfeed.tech/sources/clickhouse-blog.md>)

Topics: [MSP MCP](<https://devfeed.tech/topics/msp-mcp.md>)

Tags: [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [databases](<https://devfeed.tech/tags/databases.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [gemini](<https://devfeed.tech/tags/gemini.md>), [go](<https://devfeed.tech/tags/go.md>), [google](<https://devfeed.tech/tags/google.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [search](<https://devfeed.tech/tags/search.md>), [sql](<https://devfeed.tech/tags/sql.md>), [vector](<https://devfeed.tech/tags/vector.md>)

## AI overview

A tutorial for configuring Google's MCP Toolbox with ClickHouse to embed text during inserts and searches, then return cosine-ranked results without a separate embedding service.

## Source excerpt

Google's MCP Toolbox for Databases embeds agent text into vectors on insert and search, then lets ClickHouse rank the results - no embedding service to build or maintain. Here's how to set it up, and what it looks like end to end.