isaacwasserman/mcp-snowflake-server — agentic threat model

Not certain from the listing — The MCP server itself does not define the foundation model, but any LLM interacting with this server is vulnerable to indirect prompt injection, which could trick the model into executing unauthorized or destructive SQL queries.

Directly interacts with Snowflake data warehouses. Primary threats include unauthorized data exfiltration of sensitive tables, schema harvesting, and data poisoning or deletion if write operations are enabled.

Implements the Model Context Protocol (MCP). Vulnerable to tool misuse where an orchestrator blindly executes LLM-generated SQL queries without strict input sanitization or parameterized query enforcement.

Requires hosting and credential management for Snowflake access. Threats include exposure of database credentials (API keys, passwords) in environment variables and lack of network isolation between the MCP host and the database.

Features 'insight tracking', but lacks explicit details on security logging. Threats include a lack of auditability for executed SQL statements, making it difficult to detect malicious queries or data exfiltration attempts in real-time.

Relies heavily on external Snowflake RBAC and credential handling. If the configured Snowflake user has excessive privileges, the agent inherits them, potentially violating least-privilege access and compliance standards (e.g., GDPR, HIPAA).

As an MCP server, it is designed to be called by other agents. A compromised or rogue agent in a multi-agent ecosystem could abuse this tool to query or modify database state, leading to cascading trust failures.