SingleStore Connector for AI agents.
6 live capabilities
Query real-time analytics and manage vector databases directly.
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Why people use SingleStore
SingleStore for Real-time SQL Analytics
This Connector puts all those actions into a single chat interface. You can ask your agent to pull a database list or run a raw SQL query without ever leaving your IDE. You get immediate answers and stay in your flow.
What Vinkius changes
You get a direct line from your chat interface to your production data and infrastructure.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Checking Schema
A developer is stuck on a join and asks the agent to list databases and run a query to see the columns.
- Real-world use case 02
Vector Retrieval
A product manager wants to find similar products and the agent uses vector_search to pull the top 5 matches.
- Real-world use case 03
Billing Audit
An admin needs to know why the bill is high and asks the agent to pull get_billing_usage for the last month.
Complete set · 6capabilities
The complete SingleStore capability set.
These are the exact actions your AI can choose when you ask it to work with SingleStore.
01—03
3 capabilities in this set.
Part of 6 available through SingleStore.
- 01 Capability
Get billing usage
Retrieve your latest billing and usage metrics instantly. This lets you monitor costs without opening the cloud console.
- 02 Capability
List databases
See all databases within a specific workspace. This is great for quickly verifying your schema structure.
- 03 Capability
List organizations
See all organizations linked to your account. Use this to manage multi-tenant setups and account access.
04—06
3 capabilities in this set.
Part of 6 available through SingleStore.
- 04 Capability
List workspaces
See every SingleStore workspace associated with your account in a single list. This helps you navigate different environments without switching tabs.
- 05 Capability
Vector search
Perform a DOT_PRODUCT vector similarity search against your data. It's the primary way to find related items in your vector store.
- 06 Capability
Execute sql
Run raw SQL statements directly on your SingleStore database. Use this for any standard read-only or write queries your agent needs to perform.
Set up in minutes
One URL. Then ask SingleStore to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use SingleStore from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_CWK0SovUKcPI3nav2853E8UUtd5snsstATtMZNpM/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it SingleStore, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable SingleStore for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_CWK0SovUKcPI3nav2853E8UUtd5snsstATtMZNpM/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the SingleStore URL.
- Step 03
Save and start
Save the connection and enable SingleStore in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"singlestore": {
"url": "https://edge.vinkius.com/vk_preview_CWK0SovUKcPI3nav2853E8UUtd5snsstATtMZNpM/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using SingleStore
Open Agent mode in chat and ask: "Using SingleStore, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"singlestore": {
"url": "https://edge.vinkius.com/vk_preview_CWK0SovUKcPI3nav2853E8UUtd5snsstATtMZNpM/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using SingleStore
Ask Copilot: "Using SingleStore, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"singlestore": {
"url": "https://edge.vinkius.com/vk_preview_CWK0SovUKcPI3nav2853E8UUtd5snsstATtMZNpM/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using SingleStore
Open Cascade and ask: "Using SingleStore, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"singlestore": {
"url": "https://edge.vinkius.com/vk_preview_CWK0SovUKcPI3nav2853E8UUtd5snsstATtMZNpM/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using SingleStore
Ask Cline: "Using SingleStore, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add singlestore --transport http "https://edge.vinkius.com/vk_preview_CWK0SovUKcPI3nav2853E8UUtd5snsstATtMZNpM/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using SingleStore
Ask Claude: "Using SingleStore, show me...". 6 tools are ready
Where the request belongs
Work SingleStore can move forward.
This is for data engineers who are tired of manual SQL debugging, backend developers who need quick schema access during coding, and analytics leads who want real-time metrics without waiting on a manual report.
Data Engineer
Uses this to automate data exploration and run complex queries without leaving the terminal.
Backend Developer
Checks database schema details and runs quick validation queries during active development.
Analytics Lead
Pulls real-time metrics and monitors billing usage to keep projects on track.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Xata
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Automate distributed database workflows via Turso. manage edge locations, organizations, and libSQL databases directly from any AI agent.
Starburst
Connect your AI to Starburst Enterprise. Query federated data lakes, manage access roles, and orchestrate complex data environments seamlessly.
Bring your own AI
Change the model, client or framework. Keep SingleStore connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about SingleStore.
The practical details behind the request, access and result.
Can the SingleStore MCP run my SQL queries?
Yes, it can execute raw SQL statements directly on your database. This allows your AI client to pull specific records, perform joins, and run complex queries based on your natural language instructions.
Does the SingleStore MCP support vector search?
Yes, it includes a capability for DOT_PRODUCT vector similarity searches. You can use this to find relevant data points in your vector store using semantic similarity.
Can I use SingleStore MCP to see my billing?
Yes, you can ask your agent to pull your latest billing and usage metrics. It's a quick way to monitor your costs without having to log into the cloud console.
Is SingleStore MCP good for managing multiple workspaces?
It's perfect for that. It includes capabilities to list all your workspaces and organizations, making it easy to manage multi-tenant environments from a single chat interface.
Can the SingleStore MCP list my databases?
Yes, it can list all databases within a specific workspace. This helps you quickly verify your data structure or find specific tables during development.
Does SingleStore MCP work with Cursor?
Yes, it works with Cursor and other MCP-compatible clients. You can connect it via Vinkius to give your agent direct access to your SingleStore infrastructure.
Can this execute a DROP TABLE query and delete my database?
Yes! The execute_sql capability executes anything provided. Make sure to embed an API token that possesses read-only or strictly limited privileges to prevent accidental data destruction.
Are semantic vector searches natively supported?
Absolutely. By utilizing the vector_search capability, your agent can issue DOT_PRODUCT evaluations seamlessly without needing external drivers.
Can I request my current billing and invoice costs?
Yes. The get_billing_usage action explicitly pulls billing statements directly to the CLI interface for your specific cluster organization.
One connection away
Give your agent a direct line to SingleStore.
Connect SingleStore once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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