Connect to the Snowflake Managed MCP server with Clawdbot or other MCP clients. Use when wiring Snowflake MCP endpoints, validating connectivity, or configuring Cortex AI services.
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install snowflake-mcp或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install snowflake-mcp⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/snowflake-mcp/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
--- name: snowflake-mcp description: Connect to the Snowflake Managed MCP server with Clawdbot or other MCP clients. Use when wiring Snowflake MCP endpoints, validating connectivity, or configuring Cortex AI services. ---
Use this skill to integrate the Snowflake Managed MCP server with Clawdbot. It covers endpoint creation, authentication, and tool validation so Snowflake data can be accessed through MCP.
Run this SQL in a Snowsight worksheet to create your MCP server:
CREATE OR REPLACE MCP SERVER my_mcp_server FROM SPECIFICATION
$$
tools:
- name: "SQL Execution Tool"
type: "SYSTEM_EXECUTE_SQL"
description: "Execute SQL queries against the Snowflake database."
title: "SQL Execution Tool"
$$;
Verify with curl (replace placeholders):
curl -X POST "https://YOUR-ORG-YOUR-ACCOUNT.snowflakecomputing.com/api/v2/databases/YOUR_DB/schemas/YOUR_SCHEMA/mcp-servers/my_mcp_server" \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--header "Authorization: Bearer YOUR-PAT-TOKEN" \
--data '{
"jsonrpc": "2.0",
"id": 12345,
"method": "tools/list",
"params": {}
}'
Create mcp.json at your project root (this is the MCP configuration Clawdbot can load for a session):
{
"mcpServers": {
"Snowflake MCP Server": {
"url": "https://YOUR-ORG-YOUR-ACCOUNT.snowflakecomputing.com/api/v2/databases/YOUR_DB/schemas/YOUR_SCHEMA/mcp-servers/my_mcp_server",
"headers": {
"Authorization": "Bearer YOUR-PAT-TOKEN"
}
}
}
}
Start a new Clawdbot session and load mcp.json so the MCP connection is active. The Snowflake tools should appear in your session.
mcp.json for the sessionCREATE OR REPLACE MCP SERVER sql_mcp_server FROM SPECIFICATION
$$
tools:
- name: "SQL Execution Tool"
type: "SYSTEM_EXECUTE_SQL"
description: "Execute SQL queries against Snowflake."
title: "SQL Execution"
$$;
First create a Cortex Search service in Snowsight (AI & ML → Cortex Search), then:
CREATE OR REPLACE MCP SERVER search_mcp_server FROM SPECIFICATION
$$
tools:
- name: "Document Search"
identifier: "MY_DB.MY_SCHEMA.MY_SEARCH_SERVICE"
type: "CORTEX_SEARCH_SERVICE_QUERY"
description: "Search and retrieve information from documents using vector search."
title: "Document Search"
- name: "SQL Execution Tool"
type: "SYSTEM_EXECUTE_SQL"
description: "Execute SQL queries."
title: "SQL Execution"
$$;
First upload a semantic YAML or create a Semantic View, then:
CREATE OR REPLACE MCP SERVER analyst_mcp_server FROM SPECIFICATION
$$
tools:
- name: "Sales Analytics"
identifier: "MY_DB.MY_SCHEMA.SALES_SEMANTIC_VIEW"
type: "CORTEX_ANALYST_MESSAGE"
description: "Query sales metrics and KPIs using natural language."
title: "Sales Analytics"
- name: "SQL Execution Tool"
type: "SYSTEM_EXECUTE_SQL"
description: "Execute SQL queries."
title: "SQL Execution"
$$;
CREATE OR REPLACE MCP SERVER agent_mcp_server FROM SPECIFICATION
$$
tools:
- name: "Documentation Agent"
identifier: "MY_DB.MY_SCHEMA.MY_AGENT"
type: "CORTEX_AGENT_RUN"
description: "An agent that answers questions using documentation."
title: "Documentation Agent"
$$;
CREATE OR REPLACE MCP SERVER full_mcp_server FROM SPECIFICATION
$$
tools:
- name: "Analytics Semantic View"
identifier: "ANALYTICS_DB.DATA.FINANCIAL_ANALYTICS"
type: "CORTEX_ANALYST_MESSAGE"
description: "Query financial metrics, customer data, and business KPIs."
title: "Financial Analytics"
- name: "Support Tickets Search"
identifier: "SUPPORT_DB.DATA.TICKETS_SEARCH"
type: "CORTEX_SEARCH_SERVICE_QUERY"
description: "Search support tickets and customer interactions."
title: "Support Search"
- name: "SQL Execution Tool"
type: "SYSTEM_EXECUTE_SQL"
description: "Execute SQL queries against Snowflake."
title: "SQL Execution"
- name: "Send_Email"
identifier: "MY_DB.DATA.SEND_EMAIL"
type: "GENERIC"
description: "Send emails to verified addresses."
title: "Send Email"
config:
type: "procedure"
warehouse: "COMPUTE_WH"
input_schema:
type: "object"
properties:
body:
description: "Email body in HTML format."
type: "string"
recipient_email:
description: "Recipient email address."
type: "string"
subject:
description: "Email subject line."
type: "string"
$$;
| Type | Purpose | |------|---------| | SYSTEM_EXECUTE_SQL | Execute arbitrary SQL queries | | CORTEX_SEARCH_SERVICE_QUERY | RAG over unstructured data | | CORTEX_ANALYST_MESSAGE | Natural language queries on semantic models | | CORTEX_AGENT_RUN | Invoke Cortex Agents | | GENERIC | Custom tools (procedures/functions) |
List available tools:
curl -X POST "https://YOUR-ACCOUNT.snowflakecomputing.com/api/v2/databases/DB/schemas/SCHEMA/mcp-servers/SERVER" \
-H "Authorization: Bearer PAT" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}'
For local deployment using the snowflake-labs-mcp package, see mcp-client-setup.md.
安装 Snowflake MCP Connection 后,可以对 AI 说这些话来触发它
Help me get started with Snowflake MCP Connection
Explains what Snowflake MCP Connection does, walks through the setup, and runs a quick demo based on your current project
Use Snowflake MCP Connection to connect to the Snowflake Managed MCP server with Clawdbot or other ...
Invokes Snowflake MCP Connection with the right parameters and returns the result directly in the conversation
What can I do with Snowflake MCP Connection in my ai agent & automation workflow?
Lists the top use cases for Snowflake MCP Connection, with example commands for each scenario
将技能文件夹放到 ~/.claude/skills/snowflake-mcp/ 目录(个人级,所有项目可用),或 .claude/skills/snowflake-mcp/(项目级)。重启 AI 客户端后,用 /snowflake-mcp 主动调用,或让 AI 根据上下文自动发现并使用。
Snowflake MCP Connection 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
Snowflake MCP Connection 可免费安装使用。请查阅仓库了解许可证信息。
Connect to the Snowflake Managed MCP server with Clawdbot or other MCP clients. Use when wiring Snowflake MCP endpoints, validating connectivity, or configuring Cortex AI services.
Snowflake MCP Connection 属于「AI Agent & Automation」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。
Automate my ai agent & automation tasks using Snowflake MCP Connection
Identifies repetitive steps in your workflow and sets up Snowflake MCP Connection to handle them automatically