Retrieve detailed information about a specific scheduled query by ID, including SQL code, schedule configuration, and metadata for security monitoring analysis.
Retrieve detailed information about a specific scheduled query by ID, including SQL, schedule configuration, and metadata, using the Panther MCP Server. Supports security monitoring and data lake query management.
Transform natural language questions into SQL queries with AI, enabling users to interact with Snowflake databases efficiently. Simplify data querying by converting user input into structured database commands.
Retrieve predefined tree-sitter query templates for code analysis. Specify the language and template type (e.g., functions, classes) to obtain structured query information for enhanced code context management.
Make it easy for agents to build their context about your projects over time
The server provides a set of tools to help agents accumulate knowledge about a project over time in a structured way.
Enforces disciplined programming practices by requiring AI assistants to audit their work and produce verified outputs at each phase of development, following structured workflows for refactoring, feature development, and testing.