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snowflake-mcpSnowflake MCP 搜索

Agent Skill

snowflake-mcp 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

83,731

周安装

3,560

GitHub Stars

3

下载量

29,334
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:snowflake-mcp(Snowflake MCP 搜索)
来源仓库:https://github.com/vikrambalaaj/snowflake-mcp
安装命令:
openclaw skills install snowflake-mcp
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install snowflake-mcp

简介

使用 Clawdbot 或其他 MCP 客户端连接到 Snowflake Managed MCP 服务器。在连接 Snowflake MCP 端点、验证连接或配置 Cortex AI 服务时使用。

SKILL.md

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.

Snowflake MCP Connection

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.

Quick Start

Prerequisites

  • Snowflake account with ACCOUNTADMIN role
  • Programmatic Access Token (PAT) from Snowflake
  • Clawdbot or any MCP-compatible client

Step 1: Create Programmatic Access Token (PAT)

  1. In Snowsight, go to your user menu → My Profile
  2. Select Programmatic Access Tokens
  3. Click Create Token for your role
  4. Copy and save the token securely

Step 2: Create MCP Server in Snowflake

Run this SQL in a Snowsight worksheet to create your MCP server:

CREATE OR REPLACE MCP SERVER my_mcp_server FROM SPECIFICATION
$$
tools:
  - name: "SQL Execution Tool"
    type: "SYSTEM_EXECUTE_SQL"
    description: "Execute SQL queries against the Snowflake database."
    title: "SQL Execution Tool"
$$;

Step 3: Test the Connection

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": {}
  }'

Step 4: Configure Clawdbot

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.

Step 5: Verify in Clawdbot

  1. Start a new Clawdbot session
  2. Load mcp.json for the session
  3. Ask a question that triggers Snowflake tools (for example, a SQL query)

MCP Server Examples

Basic SQL Execution Only

CREATE OR REPLACE MCP SERVER sql_mcp_server FROM SPECIFICATION
$$
tools:
  - name: "SQL Execution Tool"
    type: "SYSTEM_EXECUTE_SQL"
    description: "Execute SQL queries against Snowflake."
    title: "SQL Execution"
$$;

With Cortex Search (RAG)

First create a Cortex Search service in Snowsight (AI & ML → Cortex Search), then:

CREATE OR REPLACE MCP SERVER search_mcp_server FROM SPECIFICATION
$$
tools:
  - name: "Document Search"
    identifier: "MY_DB.MY_SCHEMA.MY_SEARCH_SERVICE"
    type: "CORTEX_SEARCH_SERVICE_QUERY"
    description: "Search and retrieve information from documents using vector search."
    title: "Document Search"
  - name: "SQL Execution Tool"
    type: "SYSTEM_EXECUTE_SQL"
    description: "Execute SQL queries."
    title: "SQL Execution"
$$;

With Cortex Analyst (Semantic Views)

First upload a semantic YAML or create a Semantic View, then:

CREATE OR REPLACE MCP SERVER analyst_mcp_server FROM SPECIFICATION
$$
tools:
  - name: "Sales Analytics"
    identifier: "MY_DB.MY_SCHEMA.SALES_SEMANTIC_VIEW"
    type: "CORTEX_ANALYST_MESSAGE"
    description: "Query sales metrics and KPIs using natural language."
    title: "Sales Analytics"
  - name: "SQL Execution Tool"
    type: "SYSTEM_EXECUTE_SQL"
    description: "Execute SQL queries."
    title: "SQL Execution"
$$;

With Cortex Agent

CREATE OR REPLACE MCP SERVER agent_mcp_server FROM SPECIFICATION
$$
tools:
  - name: "Documentation Agent"
    identifier: "MY_DB.MY_SCHEMA.MY_AGENT"
    type: "CORTEX_AGENT_RUN"
    description: "An agent that answers questions using documentation."
    title: "Documentation Agent"
$$;

Full Featured Server

CREATE OR REPLACE MCP SERVER full_mcp_server FROM SPECIFICATION
$$
tools:
  - name: "Analytics Semantic View"
    identifier: "ANALYTICS_DB.DATA.FINANCIAL_ANALYTICS"
    type: "CORTEX_ANALYST_MESSAGE"
    description: "Query financial metrics, customer data, and business KPIs."
    title: "Financial Analytics"
  - name: "Support Tickets Search"
    identifier: "SUPPORT_DB.DATA.TICKETS_SEARCH"
    type: "CORTEX_SEARCH_SERVICE_QUERY"
    description: "Search support tickets and customer interactions."
    title: "Support Search"
  - name: "SQL Execution Tool"
    type: "SYSTEM_EXECUTE_SQL"
    description: "Execute SQL queries against Snowflake."
    title: "SQL Execution"
  - name: "Send_Email"
    identifier: "MY_DB.DATA.SEND_EMAIL"
    type: "GENERIC"
    description: "Send emails to verified addresses."
    title: "Send Email"
    config:
      type: "procedure"
      warehouse: "COMPUTE_WH"
      input_schema:
        type: "object"
        properties:
          body:
            description: "Email body in HTML format."
            type: "string"
          recipient_email:
            description: "Recipient email address."
            type: "string"
          subject:
            description: "Email subject line."
            type: "string"
$$;

Tool Types Reference

TypePurpose
SYSTEM_EXECUTE_SQLExecute arbitrary SQL queries
CORTEX_SEARCH_SERVICE_QUERYRAG over unstructured data
CORTEX_ANALYST_MESSAGENatural language queries on semantic models
CORTEX_AGENT_RUNInvoke Cortex Agents
GENERICCustom tools (procedures/functions)

Benefits

  • Governed by Design: Same RBAC policies apply as your data
  • No Infrastructure: No local server deployment needed
  • Reduced Integration: Connect any MCP-compatible client
  • Extensible: Add custom tools via procedures/functions

Troubleshooting

Connection Issues

  • SSL Error: Use hyphens instead of underscores in account name
  • 401 Unauthorized: Verify PAT token is valid and not expired
  • 404 Not Found: Check database, schema, and MCP server names

Testing Tools

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":{}}'

PAT Token Notes

  • PATs don't evaluate secondary roles
  • Select a single role with all required permissions when creating
  • Create new PAT to change role

Alternative: Local MCP Server

For local deployment using the snowflake-labs-mcp package, see mcp-client-setup.md.

Resources

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

74.11%
按下载量换算21,739

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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