Simple Snowflake
This Snowflake MCP server, developed by Yann Barraud, provides AI assistants with direct access to Snowflake data warehouses through a simplified interface designed to work behind corporate proxies where existing servers may fail. Built with Python using the snowflake-connector-python library and MCP framework, it offers essential tools for SQL query execution, warehouse and database listing, view management with detailed schema information, and both raw JSON and markdown-formatted result output. The implementation emphasizes reliability in corporate environments with proxy support, includes optional read-only mode configuration, and supports flexible authentication through environment variables, making it valuable for data analysis workflows, business intelligence tasks, and building AI assistants that need reliable access to Snowflake data without complex setup requirements.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/yannbrrd/simple_snowflake_mcp
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Simple Snowflake from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.