Snowflake
This MCP server, developed by datawiz168, provides seamless integration with Snowflake databases. It implements a Python-based interface for executing SQL queries, retrieving results, and managing database connections through the Snowflake connector. The server exposes tools for running queries, fetching data, and interacting with Snowflake objects like tables and views. By leveraging Snowflake's powerful cloud data platform, this implementation enables AI assistants to easily incorporate large-scale data analysis and business intelligence capabilities. It is particularly useful for scenarios requiring real-time access to enterprise data warehouses, such as generating reports, performing ad-hoc analysis, or integrating Snowflake data into AI-powered applications.
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
- Repository
- github.com/datawiz168/mcp-snowflake-service
- 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.