mcp-snowflake-server is a Model Context Protocol (MCP) server implementation that provides database interaction with Snowflake. It allows users to run SQL queries and interact with a memo of data insights presented as a resource.
mcp-snowflake-server enables seamless integration between tools and Snowflake databases, allowing users to execute SQL queries, manage tables, append data insights, and maintain an aggregated memo of analysis results in real-time.
Data analysts, developers, and organizations using Snowflake for their data storage and analytics needs can benefit from mcp-snowflake-server. Contributors like Isaac Wasserman have helped develop this tool.
It can be installed via Smithery or UVX for Claude Desktop, or locally by configuring the `claude_desktop_config.json` file with appropriate parameters.
The information provided indicates a future release date of February 3, 2025, but there are already 19 releases available as of now.
The server offers six core tools: read_query, write_query, create_table, list_tables, describe-table, and append_insight. These allow for executing queries, managing tables, and appending data insights.
You can install it automatically via Smithery using the command: `npx -y @smithery/cli install mcp_snowflake_server --client claude`.
Yes, you can enable write operations by including the `--allow-write` flag, though it is not recommended due to potential risks.
The `memo://insights` resource is a dynamic, continuously updated memo that aggregates data insights discovered during analysis through the append_insight tool.
You can specify logging options such as `--log_dir` to set the directory for logs and `--log_level` to define the level of logging detail (DEBUG, INFO, WARNING, ERROR, CRITICAL).
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.