How to Use the MyScale (SQL Vector Database API) MCP in Cline

Q: Can Cline perform hybrid filtering with MyScale (SQL Vector Database API)?

Yes. The agent writes raw SQL using executesqlquery, allowing it to mix relational WHERE clauses with vector distance calculations in a single statement.

Give Cline direct access to your vector database. Build hybrid search features and manage SQL indices without leaving VS Code.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect MyScale (SQL Vector Database API) MCP to Cline

Create your Vinkius account to connect MyScale (SQL Vector Database API) to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup MyScale (SQL Vector Database API) with Cline

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Full database control via this MCP Server

Cline does not just write application code. When you ask it to add a semantic search feature, it actually builds the underlying database architecture. The agent starts by calling `ping_cluster` to ensure the connection is live. Once verified, it executes `create_vector_table` to define your schema. You get a ready-to-use vector column alongside your standard relational data. The agent handles the database provisioning so you can immediately start writing the frontend components.

Cline manages your vector indices

Building a massive vector index takes time and specific hardware configurations. Instead of guessing when it finishes, your agent monitors the job for you. It triggers `create_vector_index` with the correct algorithm parameters, then polls `check_index_status`. The agent waits until the state reads Built before it attempts to run any production queries against that table.

Execute queries and fetch results

You need real data to build a working dashboard. Cline uses `execute_sql_query` to pull live rows directly from your cluster. The database automatically formats SELECT statements as JSON, giving the agent exactly what it needs to populate your UI components. For the actual semantic matching, it relies on `vector_search`. The agent passes the raw embeddings, and the database handles the distance calculations. Connecting this MCP integration turns your editor into a fully functional database client.

Setup guide

Set up MyScale (SQL Vector Database API) MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type myscale-sql-vector-database-api-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest MyScale (SQL Vector Database API) refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MyScale. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect MyScale (SQL Vector Database API) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about MyScale (SQL Vector Database API) MCP in Cline

Open the Cline sidebar in VS Code and click the MCP Servers icon. You can use the Marketplace tab for a one-click install or add it manually via cline_mcp_settings.json.

Yes. The agent writes raw SQL using execute_sql_query, allowing it to mix relational WHERE clauses with vector distance calculations in a single statement.

The agent reads the exact SQL error returned by the cluster. It then rewrites the query and tries again until the syntax is correct.

No. The server exposes the database directly to your agent. You skip the boilerplate driver code and let the AI handle the raw SQL execution.

The server only accesses the specific table schemas, vector arrays, and row data required to execute the queries you approve. All database interactions happen locally through your configured endpoint token.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript