OSS Snowflake MCP Server

Name: OSS Snowflake MCP Server
Author: Snowflake-Labs

by Snowflake-Labsversion 1.3.5i★ –iRuns on your computer

Registry nameio.github.Snowflake-Labs/mcp

Install

Overview

Description from the maker (original English)

MCP Server for Snowflake from Snowflake Labs

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Databases & datasets
You need to fill in: SNOWFLAKE_PASSWORD, SNOWFLAKE_PRIVATE_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: SNOWFLAKE_ACCOUNT, SNOWFLAKE_HOST, SNOWFLAKE_USER, SNOWFLAKE_PASSWORD, SNOWFLAKE_ROLE, SNOWFLAKE_WAREHOUSE, SNOWFLAKE_PASSCODE, SNOWFLAKE_PRIVATE_KEY, SNOWFLAKE_PRIVATE_KEY_FILE, SNOWFLAKE_PRIVATE_KEY_FILE_PWD, SNOWFLAKE_MCP_HOST, SNOWFLAKE_MCP_PORT, SNOWFLAKE_MCP_ENDPOINT

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "snowflake-labs": {
      "command": "uvx",
      "args": [
        "snowflake-labs-mcp",
        "--service-config-file",
        "your-value",
        "--authenticator",
        "snowflake",
        "--transport",
        "stdio",
        "--server-host",
        "0.0.0.0",
        "--port",
        "9000",
        "--endpoint",
        "/mcp"
      ],
      "env": {
        "SNOWFLAKE_ACCOUNT": "your-value",
        "SNOWFLAKE_HOST": "your-value",
        "SNOWFLAKE_USER": "your-value",
        "SNOWFLAKE_PASSWORD": "your-value",
        "SNOWFLAKE_ROLE": "your-value",
        "SNOWFLAKE_WAREHOUSE": "your-value",
        "SNOWFLAKE_PASSCODE": "your-value",
        "SNOWFLAKE_PRIVATE_KEY": "your-value",
        "SNOWFLAKE_PRIVATE_KEY_FILE": "your-value",
        "SNOWFLAKE_PRIVATE_KEY_FILE_PWD": "your-value",
        "SNOWFLAKE_MCP_HOST": "your-value",
        "SNOWFLAKE_MCP_PORT": "your-value",
        "SNOWFLAKE_MCP_ENDPOINT": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add snowflake-labs --env SNOWFLAKE_ACCOUNT=your-value --env SNOWFLAKE_HOST=your-value --env SNOWFLAKE_USER=your-value --env SNOWFLAKE_PASSWORD=your-value --env SNOWFLAKE_ROLE=your-value --env SNOWFLAKE_WAREHOUSE=your-value --env SNOWFLAKE_PASSCODE=your-value --env SNOWFLAKE_PRIVATE_KEY=your-value --env SNOWFLAKE_PRIVATE_KEY_FILE=your-value --env SNOWFLAKE_PRIVATE_KEY_FILE_PWD=your-value --env SNOWFLAKE_MCP_HOST=your-value --env SNOWFLAKE_MCP_PORT=your-value --env SNOWFLAKE_MCP_ENDPOINT=your-value -- uvx snowflake-labs-mcp --service-config-file your-value --authenticator snowflake --transport stdio --server-host 0.0.0.0 --port 9000 --endpoint /mcp

Fill in the empty values before running it.

This one needs values on its command line, so copy the settings and fill them in.

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "snowflake-labs": {
      "command": "uvx",
      "args": [
        "snowflake-labs-mcp",
        "--service-config-file",
        "your-value",
        "--authenticator",
        "snowflake",
        "--transport",
        "stdio",
        "--server-host",
        "0.0.0.0",
        "--port",
        "9000",
        "--endpoint",
        "/mcp"
      ],
      "env": {
        "SNOWFLAKE_ACCOUNT": "your-value",
        "SNOWFLAKE_HOST": "your-value",
        "SNOWFLAKE_USER": "your-value",
        "SNOWFLAKE_PASSWORD": "your-value",
        "SNOWFLAKE_ROLE": "your-value",
        "SNOWFLAKE_WAREHOUSE": "your-value",
        "SNOWFLAKE_PASSCODE": "your-value",
        "SNOWFLAKE_PRIVATE_KEY": "your-value",
        "SNOWFLAKE_PRIVATE_KEY_FILE": "your-value",
        "SNOWFLAKE_PRIVATE_KEY_FILE_PWD": "your-value",
        "SNOWFLAKE_MCP_HOST": "your-value",
        "SNOWFLAKE_MCP_PORT": "your-value",
        "SNOWFLAKE_MCP_ENDPOINT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one needs values on its command line, so copy the settings and fill them in.

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "snowflake-labs": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "snowflake-labs-mcp",
        "--service-config-file",
        "your-value",
        "--authenticator",
        "snowflake",
        "--transport",
        "stdio",
        "--server-host",
        "0.0.0.0",
        "--port",
        "9000",
        "--endpoint",
        "/mcp"
      ],
      "env": {
        "SNOWFLAKE_ACCOUNT": "your-value",
        "SNOWFLAKE_HOST": "your-value",
        "SNOWFLAKE_USER": "your-value",
        "SNOWFLAKE_PASSWORD": "your-value",
        "SNOWFLAKE_ROLE": "your-value",
        "SNOWFLAKE_WAREHOUSE": "your-value",
        "SNOWFLAKE_PASSCODE": "your-value",
        "SNOWFLAKE_PRIVATE_KEY": "your-value",
        "SNOWFLAKE_PRIVATE_KEY_FILE": "your-value",
        "SNOWFLAKE_PRIVATE_KEY_FILE_PWD": "your-value",
        "SNOWFLAKE_MCP_HOST": "your-value",
        "SNOWFLAKE_MCP_PORT": "your-value",
        "SNOWFLAKE_MCP_ENDPOINT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

SNOWFLAKE_ACCOUNT env
Account identifier (e.g. xy12345.us-east-1)
SNOWFLAKE_HOST env
Snowflake host URL
SNOWFLAKE_USER env
Username for authentication
SNOWFLAKE_PASSWORD secret env
Password or programmatic access token
SNOWFLAKE_ROLE env
Role to use for connection
SNOWFLAKE_WAREHOUSE env
Warehouse to use for queries
SNOWFLAKE_PASSCODE env
MFA passcode for authentication
SNOWFLAKE_PRIVATE_KEY secret env
Private key for key pair authentication
SNOWFLAKE_PRIVATE_KEY_FILE env
Path to private key file
SNOWFLAKE_PRIVATE_KEY_FILE_PWD env
Password for encrypted private key
SNOWFLAKE_MCP_HOST env
Host address to bind the server to (default: 0.0.0.0)
SNOWFLAKE_MCP_PORT env
Port number for the server to listen on (default: 9000)
SNOWFLAKE_MCP_ENDPOINT env
Endpoint path for the MCP server (default: /mcp)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Snowflake-Labs, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Databases & datasetsi

More stars than 0% of the other 954 servers in this category
Published to the registry more recently than 1% of the other 954 servers in this category
Basic checks equal to or better than 100% of the other 954 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is OSS Snowflake MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: SNOWFLAKE_PASSWORD, SNOWFLAKE_PRIVATE_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.3.5) reached the registry 12 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

[DEPRECATED] Snowflake Cortex AI Model Context Protocol (MCP) Server

[!CAUTION]

This project is deprecated and no longer maintained. Please migrate to the official Snowflake MCP Server. The official server is actively developed, fully supported by Snowflake, and continues to add new features.

This community MCP server previously provided tooling for Snowflake Cortex AI, object management, and SQL orchestration. It is no longer supported. For all new and existing use cases, please use the official Snowflake MCP Server instead.

Legacy documentation (for reference only)

The MCP server supported the below capabilities:

[Cortex Search](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-search/cortex-search-overview): Query unstructured data in Snowflake as commonly used in Retrieval Augmented Generation (RAG) applications.
[Cortex Analyst](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-analyst): Query structured data in Snowflake via rich semantic modeling.
[Cortex Agent](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents): Agentic orchestrator across structured and unstructured data retrieval
Object Management: Perform basic operations against Snowflake's most common objects such as creation, dropping, updating, and more.
SQL Execution: Run LLM-generated SQL managed by user-configured permissions.
[Semantic View Querying](https://docs.snowflake.com/en/user-guide/views-semantic/overview): Discover and query Snowflake Semantic Views

Getting Started

Service Configuration

A simple configuration file is used to drive all tooling. An example can be seen at services/configuration.yaml and a template is below. The path to this configuration file will be passed to the server and the contents used to create MCP server tools at startup.

Cortex Services

Many Cortex Agent, Search, and Analyst services can be added. Ideal descriptions are both highly descriptive and mutually exclusive. Only the explicitly listed Cortex services will be available as tools in the MCP client.

Other Services

Other services include tooling for object management, query execution, and semantic view usage. These groups of tools can be enabled by setting them to True in the other_services section of the configuration file.

SQL Statement Permissions

The sql_statement_permissions section ensures that only approved statements are executed across any tools with access to change Snowflake objects. The list contains SQL expression types. Those marked with True are permitted while those marked with False are not permitted. Please see SQL Execution for examples of each expression type.

agent_services: # List all Cortex Agent services

service_name: description: > # Describe contents of the agent service

database_name: schema_name:

service_name: description: > # Describe contents of the agent service

database_name: schema_name: search_services: # List all Cortex Search services

service_name: description: > # Describe contents of the search service

database_name: schema_name:

service_name: description: > # Describe contents of the search service

database_name: schema_name: analyst_services: # List all Cortex Analyst semantic models/views

service_name: # Create descriptive name for the service semantic_model: # Fully-qualify semantic YAML model or Semantic View description: > # Describe contents of the analyst service

service_name: # Create descriptive name for the service semantic_model: # Fully-qualify semantic YAML model or Semantic View description: > # Describe contents of the analyst service

other_services: # Set desired tool groups to True to enable tools for that group object_manager: True # Perform basic operations against Snowflake's most common objects such as creation, dropping, updating, and more. query_manager: True # Run LLM-generated SQL managed by user-configured permissions. semantic_manager: True # Discover and query Snowflake Semantic Views and their components. sql_statement_permissions: # List SQL statements to explicitly allow (True) or disallow (False).

- All: True # To allow everything, uncomment and set All: True.

Alter: True
Command: True
Comment: True
Commit: True
Copy: True
Create: True
Delete: True
Describe: True
Drop: True
Insert: True
Merge: True
Rollback: True
Select: True
Transaction: True
TruncateTable: True
Unknown: False # To allow unknown or unmapped statement types, set Unknown: True.
Update: True
Use: True

[!NOTE]

Previous versions of the configuration file supported specifying explicit values for columns and limit for each Cortex Search service. Instead, these are now exclusively dynamic based on user prompt. If not specified, a search service's default search_columns will be returned with a limit of 10.

Connecting to Snowflake

The MCP server uses the Snowflake Python Connector for all authentication and connection methods. Please refer to the official Snowflake documentation for comprehensive authentication options and best practices.

The MCP server honors the RBAC permissions assigned to the specified role (as passed in the connection parameters) or default role of the user (if no role is passed to connect).

Connection parameters can be passed as CLI arguments and/or environment variables. The server supports all authentication methods available in the Snowflake Python Connector, including:

Username/password authentication
Key pair authentication
OAuth authentication
Single Sign-On (SSO)
Multi-factor authentication (MFA)

Connection Parameters

Connection parameters can be passed as CLI arguments and/or environment variables:

Parameter	CLI Arguments	Environment Variable	Description
Account	--account	SNOWFLAKE_ACCOUNT	Account identifier (e.g. xy12345.us-east-1)
Host	--host	SNOWFLAKE_HOST	Snowflake host URL
User	--user, --username	SNOWFLAKE_USER	Username for authentication
Password	--password	SNOWFLAKE_PASSWORD	Password or programmatic access token
Role	--role	SNOWFLAKE_ROLE	Role to use for connection
Warehouse	--warehouse	SNOWFLAKE_WAREHOUSE	Warehouse to use for queries
Passcode in Password	--passcode-in-password	-	Whether passcode is embedded in password
Passcode	--passcode	SNOWFLAKE_PASSCODE	MFA passcode for authentication
Private Key	--private-key	SNOWFLAKE_PRIVATE_KEY	Private key for key pair authentication
Private Key File	--private-key-file	SNOWFLAKE_PRIVATE_KEY_FILE	Path to private key file
Private Key Password	--private-key-file-pwd	SNOWFLAKE_PRIVATE_KEY_FILE_PWD	Password for encrypted private key
Authenticator	--authenticator	-	Authentication type (default: snowflake)
Connection Name	--connection-name	-	Name of connection from connections.toml (or config.toml) file

[!WARNING]

Deprecation Notice: The CLI arguments --account-identifier and --pat, as well as the environment variable SNOWFLAKE_PAT, are deprecated and will be removed in a future release. Please use --account and --password (or SNOWFLAKE_ACCOUNT and SNOWFLAKE_PASSWORD) instead.

Transport Configuration

The MCP server supports multiple transport mechanisms. For detailed information about MCP transports, see FastMCP Transport Protocols.

Transport	Description	Use Case
`stdio`	Standard input/output (default)	Local development, MCP client integration
`sse` (legacy)	Server-Sent Events	Streaming applications
`streamable-http`	Streamable HTTP transport	Container deployments, remote servers

Usage

# Default stdio transport

uvx snowflake-labs-mcp --service-config-file config.yaml

HTTP transport with custom endpoint

uvx snowflake-labs-mcp --service-config-file config.yaml --transport streamable-http --endpoint /my-endpoint

For containers (uses streamable-http on port 9000)

uvx snowflake-labs-mcp --service-config-file config.yaml --transport streamable-http --endpoint /snowflake-mcp

Transport Customizations

Server customizations available for sse and streamable-http transports:

Parameter	CLI Argument	Environment Variable	Default

Example:

export SNOWFLAKE_MCP_ENDPOINT="/my-mcp"

uvx snowflake-labs-mcp --service-config-file config.yaml --transport streamable-http

Using with MCP Clients

The MCP server is client-agnostic and will work with most MCP Clients that support basic functionality for MCP tools and (optionally) resources. Below are examples for local installation. For connecting to containerized deployments, see Connecting MCP Clients to Containers.

Claude Desktop

To integrate this server with Claude Desktop as the MCP Client, add the following to your app's server configuration. By default, this is located at:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

Set the path to the service configuration file and configure your connection method:

"mcpServers": { "mcp-server-snowflake": { "command": "uvx", "args": [ "snowflake-labs-mcp", "--service-config-file", " /tools_config.yaml", "--connection-name", "default" ] } } }

Cursor

"mcpServers": { "mcp-server-snowflake": { "command": "uvx", "args": [ "snowflake-labs-mcp", "--service-config-file", " /tools_config.yaml", "--connection-name", "default" ] } } }

Add the MCP server as context in the chat.

For troubleshooting Cursor server issues, view the logs by opening the Output panel and selecting Cursor MCP from the dropdown menu.

fast-agent

Update the fastagent.config.yaml mcp server section with the configuration file path and connection name:

# MCP Servers

mcp: servers: mcp-server-snowflake: command: "uvx" args: ["snowflake-labs-mcp", "--service-config-file", " /tools_c

Only the beginning is shown; read the rest in the repo

OSS Snowflake MCP Server

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Databases & datasetsi

Common questions

Alternatives

Supabase

MongoDB MCP Server

Elasticsearch MCP Server

README from the maker

[DEPRECATED] Snowflake Cortex AI Model Context Protocol (MCP) Server

Getting Started

Service Configuration

- All: True # To allow everything, uncomment and set All: True.

Connecting to Snowflake

Connection Parameters

Transport Configuration

Usage

HTTP transport with custom endpoint

For containers (uses streamable-http on port 9000)

Transport Customizations

Using with MCP Clients

Claude Desktop

Cursor

fast-agent