Frequently Asked Questions (FAQ) about Redshift Utils MCP Server

Q: What is an MCP Server? A: MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. An MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools, such as Amazon Redshift.

Q: What does the Redshift Utils MCP Server do? A: It enables AI assistants (like Claude or Cursor) to monitor, diagnose, and query Amazon Redshift databases using natural language. It uses the AWS Data API for secure data access.

Q: How does the Redshift Utils MCP Server enhance data interaction? A: It simplifies data access by allowing users to interact with Redshift using natural language, enabling AI to generate reports, identify trends, and troubleshoot issues.

Q: What security measures are in place? A: The server uses AWS Secrets Manager for secure credential management and the Redshift Data API, minimizing SQL injection risks through parameterized queries.

Q: What are the key features of the server? A: Key features include secure Redshift connection, schema discovery, metadata & statistics retrieval, read-only query execution, query performance analysis, and cluster health checks.

Q: What are the prerequisites for using this server? A: You need Python 3.8+, uv (or another package manager), Git, access to an Amazon Redshift cluster, and an AWS account with permissions to use the Redshift Data API and access Secrets Manager.

Q: How do I configure the server? A: Configure the required environment variables such as REDSHIFT_CLUSTER_ID, REDSHIFT_DATABASE, REDSHIFT_SECRET_ARN, and AWS_REGION.

Q: How do I connect to the server with Claude or Cursor? A: Add the server configuration to your mcp.json file (for Claude) or use the “Connect to MCP Server” command in Cursor, specifying the necessary command and arguments.

Q: What resources are available through the MCP server? A: Available resources include schemas, tables, and SQL scripts that provide health assessment.

Q: What tools are available through the server? A: Available tools include handle_check_cluster_health, handle_diagnose_locks, handle_diagnose_query_performance, handle_execute_ad_hoc_query, handle_get_table_definition, handle_inspect_table, and handle_monitor_workload.

Q: What is the principle of least privilege? A: Configure the Redshift user with only the necessary permissions to perform its tasks, such as CONNECT and SELECT privileges on required schemas/tables.

Q: How can I contribute to the project? A: You can report issues on the GitHub Issues page or contribute by following the guidelines in the repository.

Q: What is UBOS? A: UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. Our platform helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.