How do I connect my MyScale cluster to my AI client?

You subscribe to the MCP on Vinkius and enter your MyScale Cluster URL, Username, and Password. Once connected, your client can immediately start using the available capabilities.

Can I run standard SQL queries through this MCP?

Yes. You can use the execute_sql_query capability to run arbitrary SQL commands, including SELECT, INSERT, and ALTER, directly on your cluster.

Does the MCP handle vector similarity search logic?

Yes. The vector_search capability automatically handles the construction of the SQL query and the distance functions for you.

What kind of vector indices can I manage?

You can create and monitor specialized indices such as MSTG, ScaNN, and HNSW using the index management capabilities.

How can I check if my database connection is working?

You can use the ping_cluster capability to instantly verify your cluster status and credentials.

How can I check if my vector index has finished building?

Use the check_index_status capability. It queries the system tables to show you the current status (Built, InProgress, or Error) for all vector indices in your cluster.

Can I perform a vector search with metadata filtering?

Yes! The vector_search capability includes an optional filter parameter where you can provide a SQL WHERE clause (e.g., "category = 'science'") to restrict your search results.

What SQL commands are supported by the execute capability?

The execute_sql_query capability supports standard MyScale/ClickHouse SQL, including SELECT, CREATE, ALTER, and INSERT. For SELECT queries, it automatically formats the output as JSON for the agent.

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Connect Myscale SQL Vector Database API to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Manage high-performance vector data using standard SQL syntax.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 6 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through MyScale.

01
Ping cluster
Checks if your MyScale cluster is reachable and your credentials work.
02
Check index status
Monitors the build status of your vector indices to see if they are Built, InProgress, or in an Error state.
03
Create vector index
Adds a new vector index to a specific table using the ADD VECTOR INDEX statement.

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through MyScale.

04
Create vector table
Sets up a new table containing a vector column.
05
Execute SQL query
Runs any SQL query on your MyScale cluster, with SELECT queries automatically formatted as JSON.
06
Vector search
Performs vector similarity searches by automatically constructing the necessary SQL queries.

Real work

What teams actually run

RAG Backend Management

Monitor the health of your vector indices and adjust schemas as your retrieval needs change.

Rapid Prototyping

Quickly create new vector tables with specific dimensions to test new embedding models.

Data Inspection

Run SQL queries to check data distributions and verify the contents of your vector columns.

Database Maintenance

Use natural language to execute ALTER commands or check cluster connectivity.

Automate a task

Put MyScale to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

MyScale works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put MyScale to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

1033ms average. Fast in production.

MyScale is checked daily against the live service.

Daily averagePeak 1482ms

Oct 3Today

Fastest day: 772ms
Slowest day: 1482ms
14-day trend: Stable-2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of MyScale, so you can see the experience inside your AI.

It does not authenticate your account with MyScale. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

MyScale Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_vWeauVyztoYzGBsy6h9azMYGgJ3R8tQDDZfTvuoy/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — MyScale capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "myscale-sql-vector-database-api-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_vWeauVyztoYzGBsy6h9azMYGgJ3R8tQDDZfTvuoy/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up MyScale in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work MyScale owners hand off.

This MCP is built for technical users who need to bridge the gap between AI agents and high-performance vector databases.

01
AI Engineers
They use the agent to test search parameters and inspect data distributions.
02
Data Scientists
They manage RAG backends and monitor index health in real time.
03
Backend Developers
They perform database maintenance and schema updates using natural language.

FAQ

Questions MyScale owners ask.

01
How do I connect my MyScale cluster to my AI client?
You subscribe to the MCP on Vinkius and enter your MyScale Cluster URL, Username, and Password. Once connected, your client can immediately start using the available capabilities.
02
Can I run standard SQL queries through this MCP?
Yes. You can use the execute_sql_query capability to run arbitrary SQL commands, including SELECT, INSERT, and ALTER, directly on your cluster.
03
Does the MCP handle vector similarity search logic?
Yes. The vector_search capability automatically handles the construction of the SQL query and the distance functions for you.
04
What kind of vector indices can I manage?
You can create and monitor specialized indices such as MSTG, ScaNN, and HNSW using the index management capabilities.
05
How can I check if my database connection is working?
You can use the ping_cluster capability to instantly verify your cluster status and credentials.
06
How can I check if my vector index has finished building?
Use the check_index_status capability. It queries the system tables to show you the current status (Built, InProgress, or Error) for all vector indices in your cluster.
07
Can I perform a vector search with metadata filtering?
Yes! The vector_search capability includes an optional filter parameter where you can provide a SQL WHERE clause (e.g., "category = 'science'") to restrict your search results.
08
What SQL commands are supported by the execute capability?
The execute_sql_query capability supports standard MyScale/ClickHouse SQL, including SELECT, CREATE, ALTER, and INSERT. For SELECT queries, it automatically formats the output as JSON for the agent.

Explore

More in Databases

Connect MyScale to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Ping cluster

Check index status

Create vector index

04-06

Create vector table

Execute SQL query

Vector search

What teams actually run

RAG Backend Management

Rapid Prototyping

Data Inspection

Database Maintenance

Building your own app? The connector is yours to use.

MyScale Connector

Claude Desktop

AI Engineers

Data Scientists

Backend Developers

How do I connect my MyScale cluster to my AI client?

Can I run standard SQL queries through this MCP?

Does the MCP handle vector similarity search logic?

What kind of vector indices can I manage?

How can I check if my database connection is working?

How can I check if my vector index has finished building?

Can I perform a vector search with metadata filtering?

What SQL commands are supported by the execute capability?

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Marqo AI (Vector Search & Embeddings) AI Connector

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