Snowflake Connector for AI agents.
11 live capabilities
Run SQL queries and manage data warehouse resources through natural conversation.
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Why people use Snowflake
Snowflake SQL Querying for Data Warehouse Management
With this Connector, that friction disappears. You just ask your agent to find the sales tables in the production database. It uses the correct capabilities to list the schemas and tables for you, then runs the query you need. You get the data you want in seconds without ever leaving your conversation.
What Vinkius changes
You get a direct conversational bridge to your Snowflake data warehouse.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Finding sales data
An analyst asks for 'top 10 products by revenue' and the agent uses `execute_sql` to pull the numbers from the correct schema.
- Real-world use case 02
Auditing permissions
A security admin asks the agent to 'list all roles' and then checks specific permissions to ensure the production environment is locked down.
- Real-world use case 03
Checking warehouse health
A manager asks 'which warehouses are active' and the agent uses `list_warehouses` to show current utilization.
Complete set · 11capabilities
The complete Snowflake capability set.
These are the exact actions your AI can choose when you ask it to work with Snowflake.
01—04
4 capabilities in this set.
Part of 11 available through Snowflake.
- 01 Capability
Get session context
Retrieves the current session context from your account. It helps you understand the specific environment and permissions your agent is currently using.
- 02 Capability
Get statement status
Checks whether a specific SQL statement is still running or has finished. This is useful for monitoring long-running queries.
- 03 Capability
List databases
Shows all the databases you have permission to see in your account. It provides a quick overview of your available data sources.
- 04 Capability
List roles
Lists the security roles available within your Snowflake environment. Use this to audit permissions and manage access.
05—08
4 capabilities in this set.
Part of 11 available through Snowflake.
- 05 Capability
List schemas
Shows all the schemas located within a specific database. It helps you navigate your data architecture quickly.
- 06 Capability
List tables
Lists all the tables found in a particular schema or database. This makes it easy to find the right data for your queries.
- 07 Capability
List users
Lists all the users currently registered in your Snowflake instance. It is useful for administrative oversight and user management.
- 08 Capability
List warehouses
Shows all the compute warehouses available for your queries. Use this to monitor your compute resources and costs.
09—11
3 capabilities in this set.
Part of 11 available through Snowflake.
- 09 Capability
Cancel sql
Stops a SQL statement that is currently running in your warehouse. This prevents long queries from wasting your credits.
- 10 Capability
Describe table
Provides the schema details and column information for a specific table. It lets you see what data is available before you write a query.
- 11 Capability
Execute sql
Runs a SQL statement and returns the first partition of results or a handle for longer queries. This is the primary way to pull data into your chat.
Set up in minutes
One URL. Then ask Snowflake to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Snowflake 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_Rp0KQ9PtMeNiS3B9qz1nNvDYeWgTbTyxK57hAOY5/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 Snowflake, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Snowflake for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Rp0KQ9PtMeNiS3B9qz1nNvDYeWgTbTyxK57hAOY5/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 Snowflake URL.
- Step 03
Save and start
Save the connection and enable Snowflake in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"snowflake-alternative": {
"url": "https://edge.vinkius.com/vk_preview_Rp0KQ9PtMeNiS3B9qz1nNvDYeWgTbTyxK57hAOY5/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 Snowflake
Open Agent mode in chat and ask: "Using Snowflake, help me...". 11 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"snowflake-alternative": {
"url": "https://edge.vinkius.com/vk_preview_Rp0KQ9PtMeNiS3B9qz1nNvDYeWgTbTyxK57hAOY5/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 Snowflake
Ask Copilot: "Using Snowflake, help me...". 11 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"snowflake-alternative": {
"url": "https://edge.vinkius.com/vk_preview_Rp0KQ9PtMeNiS3B9qz1nNvDYeWgTbTyxK57hAOY5/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 Snowflake
Open Cascade and ask: "Using Snowflake, help me...". 11 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"snowflake-alternative": {
"url": "https://edge.vinkius.com/vk_preview_Rp0KQ9PtMeNiS3B9qz1nNvDYeWgTbTyxK57hAOY5/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 Snowflake
Ask Cline: "Using Snowflake, help me...". 11 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add snowflake-alternative --transport http "https://edge.vinkius.com/vk_preview_Rp0KQ9PtMeNiS3B9qz1nNvDYeWgTbTyxK57hAOY5/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 Snowflake
Ask Claude: "Using Snowflake, show me...". 11 tools are ready
Where the request belongs
Work Snowflake can move forward.
Data professionals who are tired of the friction between writing SQL and getting answers. It's for the people who need to move fast without losing their place in a complex data architecture.
Data Analyst
Finds specific sales metrics by asking the agent to query different schemas instead of writing 20 different SQL scripts.
BI Engineer
Audits warehouse usage and role permissions to keep the production environment clean and cost-effective.
Data Scientist
Explores new datasets by asking the agent to describe table structures before they start building models.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsSnowflake
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Coalesce
Enable your AI agent to manage Snowflake data pipelines, trigger transformations, and monitor jobs via the Coalesce API.
Starburst
Connect your AI to Starburst Enterprise. Query federated data lakes, manage access roles, and orchestrate complex data environments seamlessly.
Google BigQuery
Empower your AI agent to query massive datasets via BigQuery. execute Standard SQL, track active jobs, and inspect table schemas natively.
StarRocks
High-performance analytical database. manage clusters, tables, and query data via AI.
Bring your own AI
Change the model, client or framework. Keep Snowflake 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 Snowflake.
The practical details behind the request, access and result.
Can the Snowflake MCP run complex SQL queries?
Yes, you can ask your agent to execute specific SQL statements and get back results. It handles the heavy lifting of running the code and presenting the data to you in the chat.
Does the Snowflake MCP let me see my database structure?
It does. You can ask the agent to list your databases, schemas, and tables so you don't have to memorize the names or navigate through menus.
Can I use the Snowflake MCP to monitor my warehouse costs?
You can use it to list your warehouses and check the status of running statements. This helps you keep track of your resource usage in real-time.
Is the Snowflake MCP safe for my data?
Yes, it works with your existing Snowflake credentials like JWT or OAuth2. Your agent only performs the actions you specifically ask it to do.
Can I cancel a query if it's running too long?
Absolutely. You can ask the agent to check the status of a specific statement and then tell it to cancel it if it's not finishing as expected.
What kind of roles can I manage with the Snowflake MCP?
You can ask the agent to list the security roles in your account, which is great for auditing permissions and keeping your environment secure.
How do I find my Snowflake Account Identifier?
Your Account Identifier is the part of your Snowflake URL before '.snowflakecomputing.com'. It typically looks like xy12345.us-east-2.aws.
One connection away
Give your agent a direct line to Snowflake.
Connect Snowflake once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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