Snowflake MCP Server

io.github.nsphung由 GitHub 账号 nsphung 发布v0.14.4更新于 Oct 27, 2026

A Snowflake MCP server — SQL queries, schema exploration, and data insights for AI assistants

已验证STDIO仅桌面数据库数据与分析

概览

AI 生成的概览

将 AI 助手连接到 Snowflake,使其能够执行 SQL 查询、浏览模式结构并记录数据洞察。

可以做什么
  • 执行只读的 SELECT 查询
  • 列出数据库、模式和表,并查看表的列信息
  • 在开启写入模式后可执行 INSERT、UPDATE、DELETE 和 CREATE TABLE 语句
  • 把数据洞察追加到可持续更新的备忘录资源中
  • 在预取模式下把表结构预加载为资源
适用场景
适合需要基于 Snowflake 数据仓库回答问题、查看表结构或针对真实表起草 SQL 的场景。面向已有 Snowflake 凭据、希望默认以只读方式探索数据的分析师和开发者。
运行要求
通过 uvx(Python 3.13)或 Docker 镜像以 stdio 在本地运行。需要 Snowflake 账户标识、用户名、仓库、数据库和模式,以及一种认证方式的凭据:密码、密钥对文件、外部浏览器、OAuth 客户端凭据或 bearer token。也可读取带命名配置的 TOML 连接文件。需要能访问 Snowflake 的网络。
安装前请注意
凭据通过环境变量或 TOML 文件提供,包括 SNOWFLAKE_PASSWORD、SNOWFLAKE_PRIVATE_KEY_FILE_PWD、SNOWFLAKE_OAUTH_CLIENT_SECRET 和 SNOWFLAKE_TOKEN,请勿将该文件提交到版本库。写入工具默认关闭,但开启后即可修改或删除数据。查询与结果会发送到 Snowflake,助手也能看到查询结果,应避免暴露敏感表。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Snowflake MCP Server,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README


Snowflake MCP Server NSP

A Model Context Protocol (MCP) server / MCP server that connects AI assistants to Snowflake — enabling SQL queries, schema exploration, and data insights directly from your LLM client.

Highlights:

  • Multiple authentication methods: password, key-pair, external browser, OAuth 2.0 (client credentials & bearer token), TOML connection files
  • TOML multi-connection config — manage production, staging, and development environments in one file
  • Write-safety guard — write operations are disabled by default and must be explicitly enabled
  • Exclusion patterns — filter out databases, schemas, or tables from discovery
  • --exclude-json-results flag — reduces LLM context window usage
  • Selective tool exclusion via --exclude_tools
  • Prefetch mode — pre-load table schema as MCP resources
  • Docker support with hardened image (DHI, nonroot user, no shell in runtime)

Table of Contents


Quick Start

The fastest way to try it — using uvx with a TOML connection file:

bash
# 1. Create a connections filecat > ~/snowflake_connections.toml << 'EOF'[myconn]account = "your_account"user = "your_user"password = "your_password"warehouse = "COMPUTE_WH"database = "MY_DB"schema = "PUBLIC"role = "MYROLE"EOF
# 2. Run the serveruvx --python=3.13 --from mcp-snowflake-server-nsp mcp_snowflake_server \  --connections-file ~/snowflake_connections.toml \  --connection-name myconn

Claude Code

Add to your MCP client config (e.g. claude_desktop_config.json) using snowflake_connections.toml:

jsonc
"mcpServers": {  "snowflake": {    "command": "uvx",    "args": [      "--python=3.13",      "--from", "mcp-snowflake-server-nsp",      "mcp_snowflake_server",      "--connections-file", "/absolute/path/to/snowflake_connections.toml",      "--connection-name", "myconn"    ]  }}

Visual Studio Code (VSCode)

uvx — [Install in VS Code] [Install in VS Code Insiders]

Docker — [Install in VS Code (Docker)] [Install in VS Code Insiders (Docker)]

Or add manually to your MCP client config (e.g. .vscode/mcp.json) using .env file (see Authentication):

jsonc
"snowflake": {      // Snowflake MCP server      "type": "stdio",      "command": "uvx",      "args": [        "--from", "mcp-snowflake-server-nsp",        "--python=3.13",        "mcp_snowflake_server"      ],      "envFile": "${workspaceFolder}/.env"    }

OpenCode

Add to your MCP client config (e.g. opencode.jsonc) with .env file (see Authentication):

jsonc
"snowflake": {  "type": "local",  "command": [    "uvx",    "--from",    "mcp-snowflake-server-nsp",    "--python=3.13",    "mcp_snowflake_server",  ],  "enabled": true,  "timeout": 300000,}

Components

Resources

URIDescription
memo://insightsA continuously updated memo aggregating data insights appended via append_insight.
context://table/{table_name}(Prefetch mode only) Per-table schema summaries including columns and comments.

Tools

Query Tools
ToolDescriptionRequires
read_queryExecute SELECT queries. Input: query (string).—
write_queryExecute INSERT, UPDATE, or DELETE queries. Input: query (string).--allow_write
create_tableExecute CREATE TABLE statements. Input: query (string).--allow_write
Schema Tools
ToolDescriptionInput
list_databasesList all databases in the Snowflake instance.—
list_schemasList all schemas within a database.database (string)
list_tablesList all tables within a database and schema.database, schema (strings)
describe_tableDescribe columns of a table (name, type, nullability, default, comment).table_name as database.schema.table
Analysis Tools
ToolDescriptionInput
append_insightAdd a data insight to the memo://insights resource.insight (string)

Authentication

Password

Set credentials via environment variables or CLI flags (see Configuration Reference):

bash
SNOWFLAKE_USER="[email protected]"SNOWFLAKE_ACCOUNT="myaccount"SNOWFLAKE_AUTHENTICATOR="snowflake"SNOWFLAKE_PASSWORD="secret"SNOWFLAKE_WAREHOUSE="COMPUTE_WH"SNOWFLAKE_DATABASE="MY_DB"SNOWFLAKE_SCHEMA="PUBLIC"SNOWFLAKE_ROLE="MYROLE"

Key-Pair

Both RSA (RS256) and ECDSA (ES256, ES384, ES512) private keys are supported (requires snowflake-connector-python ≥ 4.5.0 for ECDSA).

bash
SNOWFLAKE_USER="[email protected]"SNOWFLAKE_ACCOUNT="myaccount"SNOWFLAKE_AUTHENTICATOR="snowflake_jwt"SNOWFLAKE_PRIVATE_KEY_FILE="/absolute/path/to/key.p8"SNOWFLAKE_PRIVATE_KEY_FILE_PWD="passphrase"  # Optional — only if key is encryptedSNOWFLAKE_WAREHOUSE="COMPUTE_WH"SNOWFLAKE_DATABASE="MY_DB"SNOWFLAKE_SCHEMA="PUBLIC"SNOWFLAKE_ROLE="MYROLE"

Or via CLI: --private_key_file /path/to/key.p8 --private_key_file_pwd passphrase

External Browser

bash
SNOWFLAKE_AUTHENTICATOR="externalbrowser"

Or in a TOML connection entry: authenticator = "externalbrowser"

OAuth 2.0 Client Credentials

Use the OAuth 2.0 client credentials flow to authenticate with a client ID and secret (no user interaction required):

bash
SNOWFLAKE_AUTHENTICATOR="oauth_client_credentials"SNOWFLAKE_ACCOUNT="myaccount"SNOWFLAKE_OAUTH_CLIENT_ID="your_client_id"SNOWFLAKE_OAUTH_CLIENT_SECRET="your_client_secret"SNOWFLAKE_OAUTH_TOKEN_REQUEST_URL="https://your-idp.example.com/oauth/token"SNOWFLAKE_OAUTH_SCOPE="session:role:MY_ROLE"  # OptionalSNOWFLAKE_WAREHOUSE="COMPUTE_WH"SNOWFLAKE_DATABASE="MY_DB"SNOWFLAKE_SCHEMA="PUBLIC"SNOWFLAKE_ROLE="MYROLE"

OAuth Bearer Token

Use a pre-fetched OAuth bearer token:

bash
SNOWFLAKE_AUTHENTICATOR="oauth"SNOWFLAKE_ACCOUNT="myaccount"SNOWFLAKE_TOKEN="eyJhbGciOiJSUzI1NiJ9..."SNOWFLAKE_WAREHOUSE="COMPUTE_WH"SNOWFLAKE_DATABASE="MY_DB"SNOWFLAKE_SCHEMA="PUBLIC"SNOWFLAKE_ROLE="MYROLE"

TOML Connection File (Recommended)

Manage multiple environments in a single file. See example_connections.toml for a full template.

toml
[production]account = "your_account"user = "your_user"password = "your_password"authenticator = "snowflake"warehouse = "COMPUTE_WH"database = "PROD_DB"schema = "PUBLIC"role = "ACCOUNTADMIN"
[development]account = "your_account"user = "dev_user"authenticator = "externalbrowser"warehouse = "DEV_WH"database = "DEV_DB"schema = "PUBLIC"role = "DEVELOPER"
[reporting]account = "your_account"user = "reporting_user"authenticator = "snowflake_jwt"private_key_file = "/path/to/private_key.pem"private_key_file_pwd = "passphrase"  # Optionalwarehouse = "REPORTING_WH"database = "REPORTING_DB"schema = "REPORTS"role = "REPORTING_ROLE"
[analytics_oauth]account = "your_account"authenticator = "oauth_client_credentials"oauth_client_id = "your_client_id"oauth_client_secret = "your_client_secret"oauth_token_request_url = "https://your-idp.example.com/oauth/token"oauth_scope = "session:role:ANALYTICS_ROLE"  # Optionalwarehouse = "ANALYTICS_WH"database = "ANALYTICS_DB"schema = "PUBLIC"role = "ANALYTICS_ROLE"

Pass the file with --connections-file and select a profile with --connection-name. Both flags are required together.


Installation

The package is published on PyPI as mcp-snowflake-server-nsp.

Contributing or running from source? See CONTRIBUTING.md for local development setup, test commands, formatting, and building the Docker image from source.


Via UVX

TOML configuration (recommended)
jsonc
"mcpServers": {  "snowflake_production": {    "command": "uvx",    "args": [      "--python=3.13",      "--from", "mcp-snowflake-server-nsp",      "mcp_snowflake_server",      "--connections-file", "/path/to/snowflake_connections.toml",      "--connection-name", "production"      // Optional flags — see Configuration Reference    ]  },  "snowflake_staging": {    "command": "uvx",    "args": [      "--python=3.13",      "--from", "mcp-snowflake-server-nsp",      "mcp_snowflake_server",      "--connections-file", "/path/to/snowflake_connections.toml",      "--connection-name", "staging"    ]  }}
Individual parameters
jsonc
"mcpServers": {  "snowflake": {    "command": "uvx",    "args": [      "--python=3.13",      "--from", "mcp-snowflake-server-nsp",      "mcp_snowflake_server",      "--account", "your_account",      "--warehouse", "your_warehouse",      "--user", "your_user",      "--password", "your_password",      "--role", "your_role",      "--database", "your_database",      "--schema", "your_schema"      // Optional: "--private_key_file", "/absolute/path/key.p8"      // Optional: "--private_key_file_pwd", "passphrase"      // Optional flags — see Configuration Reference    ]  }}

Via Docker Hub

The image is published on Docker Hub — no build step required:

bash
docker pull nsphung/mcp-snowflake-server-nsp

Note: -i (--interactive) is required to keep stdin open for the MCP stdio transport. Do not use -d (detach).

Claude Desktop — claude_desktop_config.json

With .env file (see Authentication):

jsonc
"mcpServers": {  "snowflake": {    "command": "docker",    "args": [      "run", "--rm", "-i",      "--env-file", "/absolute/path/to/.env",      "nsphung/mcp-snowflake-server-nsp"    ]  }}

With TOML connections file:

jsonc
"mcpServers": {  "snowflake": {    "command": "docker",    "args": [      "run", "--rm", "-i",      "-v", "/path/to/snowflake_connections.toml:/app/snowflake_connections.toml:ro",      "nsphung/mcp-snowflake-server-nsp",      "--connections-file", "/app/snowflake_connections.toml",      "--connection-name", "production"    ]  }}
VS Code — .vscode/mcp.json

With .env file:

jsonc
"snowflake": {  "type": "stdio",  "command": "docker",  "args": [    "run", "--rm", "-i",    "nsphung/mcp-snowflake-server-nsp"  ],  "envFile": "${workspaceFolder}/.env"}

With TOML connections file:

jsonc
"snowflake": {  "type": "stdio",  "command": "docker",  "args": [    "run", "--rm", "-i",    "-v", "/path/to/snowflake_connections.toml:/app/snowflake_connections.toml:ro",    "nsphung/mcp-snowflake-server-nsp",    "--connections-file", "/app/snowflake_connections.toml",    "--connection-name", "production"  ]}
OpenCode — opencode.jsonc
jsonc
"snowflake": {  "type": "local",  "command": [    "docker", "run", "--rm", "-i",    "--env-file", "/absolute/path/to/.env",    "nsphung/mcp-snowflake-server-nsp"  ],  "enabled": true,  "timeout": 300000}

Configuration Reference

All connection parameters can also be set as environment variables (SNOWFLAKE_<PARAM_UPPER>).

FlagEnv varDefaultDescription
--accountSNOWFLAKE_ACCOUNT—Snowflake account identifier
--userSNOWFLAKE_USER—Snowflake username
--passwordSNOWFLAKE_PASSWORD—Password (not required for key-pair / SSO)
--warehouseSNOWFLAKE_WAREHOUSE—Virtual warehouse to use
--databaseSNOWFLAKE_DATABASE(required)Default database
--schemaSNOWFLAKE_SCHEMA(required)Default schema
--roleSNOWFLAKE_ROLE—Role to assume
--private_key_fileSNOWFLAKE_PRIVATE_KEY_FILE—Absolute path to RSA or ECDSA (ES256/384/512) private key file (.p8 / .pem)
--private_key_file_pwdSNOWFLAKE_PRIVATE_KEY_FILE_PWD—Passphrase for encrypted private key
--connections-file——Path to TOML connections file
--connection-name——Connection profile name in TOML file (required with --connections-file)
--allow_write—falseEnable write_query and create_table tools
--prefetch / --no-prefetch—falsePre-load table schema as context://table/* resources (disables list_tables / describe_table)
--exclude_tools—[]Space-separated list of tool names to disable
--exclude-json-results—falseOmit embedded JSON resources from responses (reduces context window usage)
--log_dir——Directory for log file output
--log_level—INFOLog verbosity: DEBUG, INFO, WARNING, ERROR, CRITICAL

Exclusion Patterns

Edit runtime_config.json to exclude databases, schemas, or tables from all discovery tools. Patterns are matched case-insensitively as substrings.

json
{  "exclude_patterns": {    "databases": ["temp"],    "schemas": ["temp", "information_schema"],    "tables": ["temp"]  }}

The server loads this file automatically at startup from the working directory.


License

This project is licensed under the MIT License. See the LICENSE file for the full text.


Fork and Attribution

This repository is a fork of isaacwasserman/mcp-snowflake-server.

[MseeP.ai Security Assessment Badge]

  • Upstream authors and contributors retain copyright for their contributions.
  • Fork-specific changes are maintained by nsphung.
  • A summary of notable modifications is tracked in NOTICE.

来源:README.md,提交 d2971d3

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

2
  1. v0.14.4最新Sep 24, 2026
  2. v0.14.3Sep 16, 2026

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