MCP Snowflake Reader
@fnf-deepHeading
MCP Snowflake Reader について
A Model Context Protocol (MCP) server that provides secure, read-only access to Snowflake databases. Allows LLMs to safely query tables and describe schemas without write permissions. Built with Python and the official Snowflake SDK.
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-snowflake-reader": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"mcp-snowflake-reader",
"--connection",
"{\"account\":\"your-account\",\"user\":\"your-user\",\"password\":\"your-password\",\"warehouse\":\"your-warehouse\",\"database\":\"your-database\",\"schema\":\"your-schema\",\"role\":\"your-role\"}"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is MCP Snowflake Reader?
MCP Snowflake Reader is a read-only MCP server that provides secure, read-only access to Snowflake databases through the MCP protocol.
How to use MCP Snowflake Reader?
Configure your MCP client (Cursor AI or Claude) with a Docker or uvx command, passing a JSON connection string with your Snowflake account, user, password, warehouse, database, schema, and role. Alternatively, install automatically via Smithery.
Key features of MCP Snowflake Reader
- Read-only access to Snowflake databases
- Connection via JSON configuration string
- Supports Docker and uvx runtimes
- Installable via Smithery for Claude Desktop
- MIT licensed
Use cases of MCP Snowflake Reader
- Query Snowflake data without write risk from MCP clients
- Provide safe, read-only database access to AI assistants
- Integrate Snowflake analytics into Cursor AI or Claude workflows
- Automate table inspection and reporting in a controlled environment
FAQ from MCP Snowflake Reader
Can MCP Snowflake Reader write or modify data?
No, only read-only operations are allowed. SQL keywords like INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, GRANT, REVOKE, COMMIT, and ROLLBACK are explicitly prohibited.
What connection credentials are required?
You must provide a JSON object containing account, user, password, warehouse, database, schema, and role.
Are there any restrictions on table names?
Table names can only contain alphanumeric characters, underscores, and dots.
What runtimes are supported?
The server can be run via Docker or uvx. Configuration is provided in the MCP client settings file.
How do I install MCP Snowflake Reader on Claude Desktop automatically?
Run npx -y @smithery/cli install @fnf-deepHeading/mcp-snowflake-reader --client claude via Smithery.
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