ClickHouse (Vector Search) MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ClickHouse (Vector Search) through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"clickhouse-vector-search": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ClickHouse (Vector Search) Agent",
instructions:
"You help users interact with ClickHouse (Vector Search) " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ClickHouse (Vector Search)?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and ClickHouse (Vector Search) tool infrastructure. Connect 7 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the ClickHouse (Vector Search) MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from ClickHouse (Vector Search) via MCP
Why Use Mastra AI with the ClickHouse (Vector Search) MCP Server
Mastra AI provides unique advantages when paired with ClickHouse (Vector Search) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add ClickHouse (Vector Search) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every ClickHouse (Vector Search) tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
ClickHouse (Vector Search) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ClickHouse (Vector Search) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ClickHouse (Vector Search), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ClickHouse (Vector Search) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ClickHouse (Vector Search) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ClickHouse (Vector Search) tools alongside other MCP servers
ClickHouse (Vector Search) MCP Tools for Mastra AI (7)
These 7 tools become available when you connect ClickHouse (Vector Search) to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting ClickHouse (Vector Search) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpClickHouse (Vector Search) + Mastra AI FAQ
Common questions about integrating ClickHouse (Vector Search) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect ClickHouse (Vector Search) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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.
Connect ClickHouse (Vector Search) to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.