Snowflake Server
Snowflake integration implementing read and (optional) write operations as well as insight tracking
isaacwasserman
README
Snowflake MCP Server
Overview
A Model Context Protocol (MCP) server implementation that provides database interaction with Snowflake. This server enables running SQL queries with tools and intereacting with a memo of data insights presented as a resource.
Components
Resources
The server exposes a single dynamic resource:
memo://insights
: A continuously updated data insights memo that aggregates discovered insights during analysis- Auto-updates as new insights are discovered via the append-insight tool
Tools
The server offers six core tools:
Query Tools
-
read_query
- Execute SELECT queries to read data from the database
- Input:
query
(string): The SELECT SQL query to execute
- Returns: Query results as array of objects
-
write_query
(with--allow-write
flag)- Execute INSERT, UPDATE, or DELETE queries
- Input:
query
(string): The SQL modification query
- Returns:
{ affected_rows: number }
-
create_table
(with--allow-write
flag)- Create new tables in the database
- Input:
query
(string): CREATE TABLE SQL statement
- Returns: Confirmation of table creation
Schema Tools
-
list_tables
- Get a list of all tables in the database
- No input required
- Returns: Array of table names
-
describe-table
- View column information for a specific table
- Input:
table_name
(string): Name of table to describe (can be fully qualified)
- Returns: Array of column definitions with names and types
Analysis Tools
append_insight
- Add new data insights to the memo resource
- Input:
insight
(string): data insight discovered from analysis
- Returns: Confirmation of insight addition
- Triggers update of memo://insights resource
Usage with Claude Desktop
Installing via Smithery
To install Snowflake Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install mcp_snowflake_server --client claude
Installing via UVX
# Add the server to your claude_desktop_config.json
"mcpServers": {
"snowflake_pip": {
"command": "uvx",
"args": [
"mcp_snowflake_server",
"--account",
"the_account",
"--warehouse",
"the_warehouse",
"--user",
"the_user",
"--password",
"their_password",
"--role",
"the_role"
"--database",
"the_database",
"--schema",
"the_schema",
# Optionally: "--allow_write" (but not recommended)
# Optionally: "--log_dir", "/absolute/path/to/logs"
# Optionally: "--log_level", "DEBUG"/"INFO"/"WARNING"/"ERROR"/"CRITICAL"
# Optionally: "--exclude_tools", "{tool name}", ["{other tool name}"]
]
}
}
Installing locally
# Add the server to your claude_desktop_config.json
"mcpServers": {
"snowflake_local": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/mcp_snowflake_server",
"run",
"mcp_snowflake_server",
"--account",
"the_account",
"--warehouse",
"the_warehouse",
"--user",
"the_user",
"--password",
"their_password",
"--role",
"the_role"
"--database",
"the_database",
"--schema",
"the_schema",
# Optionally: "--allow_write" (but not recommended)
# Optionally: "--log_dir", "/absolute/path/to/logs"
# Optionally: "--log_level", "DEBUG"/"INFO"/"WARNING"/"ERROR"/"CRITICAL"
# Optionally: "--exclude_tools", "{tool name}", ["{other tool name}"]
]
}
}
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
AIO-MCP Server
🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows. Folk from
Persistent Knowledge Graph
An implementation of persistent memory for Claude using a local knowledge graph, allowing the AI to remember information about users across conversations with customizable storage location.
Hyperbrowser MCP Server
Welcome to Hyperbrowser, the Internet for AI. Hyperbrowser is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation. Built specifically for AI developers, it eliminates the headaches of local infrastructure and performance bottlenecks, allowing you to
React MCP
react-mcp integrates with Claude Desktop, enabling the creation and modification of React apps based on user prompts
Atlassian Integration
Model Context Protocol (MCP) server for Atlassian Cloud products (Confluence and Jira). This integration is designed specifically for Atlassian Cloud instances and does not support Atlassian Server or Data Center deployments.