Snowflake
This MCP server, developed by Isaac Wasserman, enables AI assistants like Claude to interact with Snowflake databases. Built in Python, it provides capabilities for executing SQL queries, managing database schema, and maintaining a dynamic insights memo. The implementation stands out by offering a standardized interface to Snowflake's powerful data warehousing capabilities, allowing AI systems to analyze and manipulate large-scale datasets. By connecting AI capabilities with enterprise data infrastructure, this server enables AI assistants to perform complex data analysis, generate insights, and interact with business intelligence workflows. It is particularly useful for data exploration tasks, automated reporting, and building AI-powered analytics tools that can leverage the full power of Snowflake's cloud data platform.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve 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.