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Improvado connects Amazon Redshift to Claude, ChatGPT, and other AI agents through an MCP server. Ask questions about your data in natural language, get SQL generated and executed instantly, and explore schemas without writing a single query by hand.
Skip the SQL editor. Your AI agent translates natural language questions into Redshift queries, executes them, and returns formatted results — across any schema, table, or date range you need. Exploration and reporting in one step.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Your AI agent doesn't just read from Redshift — it can generate CREATE TABLE statements, write INSERT queries, and build transformation SQL based on your business requirements. Review, adjust, execute.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up automated checks on table freshness, data volume anomalies, and slow queries. Your AI agent monitors Redshift continuously and alerts you when something looks off — before it affects downstream dashboards or reports.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent doesn't just read from Redshift — it can generate CREATE TABLE statements, write INSERT queries, and build transformation SQL based on your business requirements. Review, adjust, execute.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Every ad-hoc business question that requires Redshift data gets routed to an analyst who writes SQL, tests it, and formats the output. This queue creates delays — business stakeholders wait days for numbers they need in hours, and analysts burn time on repetitive query work.
The MCP server lets business users ask questions in natural language and get Redshift results immediately — without routing through an analyst. Analysts stay focused on complex modeling while routine data requests are handled by the AI agent.
Redshift warehouses accumulate hundreds of tables and views over years. New analysts — and even experienced ones — spend significant time navigating schemas, reading table documentation, and tracing data lineage before writing a single query.
Improvado's MCP server includes schema introspection. Your AI agent can explain what tables exist, what columns mean, how tables relate, and which ones to use for a given business question — then write and run the query in the same conversation.
A poorly written query — missing a WHERE clause, joining large tables without filtering, scanning the wrong partition — can consume credits and slow down the cluster. These issues often surface after the fact, when the damage is done.
Improvado's AI agent reviews generated SQL before execution and flags patterns that could cause expensive scans or performance issues. It suggests optimizations — partition filters, sort key usage, distribution style — before the query runs.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
AWS does not currently offer an official Redshift MCP server. Improvado provides a hosted MCP server that connects Amazon Redshift to Claude, ChatGPT, Cursor, and other AI tools. Your Redshift cluster is connected once — the MCP server handles query routing, schema introspection, and result formatting.
Natural language querying, schema exploration, SQL generation and execution, data quality monitoring, and performance analysis. The AI agent can answer business questions by generating and running SQL against your Redshift cluster, then returning results in a readable format — with no SQL knowledge required from the user.
Improvado connects to Redshift using a read-optimized service account with the minimum permissions required for your use case. Write operations are opt-in and always surfaced for review before execution. All connections are encrypted and Improvado is SOC 2 Type II certified.
The Redshift query editor requires you to know SQL and understand the schema. Improvado's MCP server lets any user ask questions in natural language — the AI agent generates the SQL, executes it, and explains the results. It also adds cross-platform context: combine Redshift data with marketing, CRM, or product data from 500+ other sources in the same conversation.
Improvado MCP can connect to Redshift clusters via direct JDBC/ODBC connection with VPC peering, or through a self-hosted Improvado agent deployed within your AWS environment for clusters without public endpoints. SSL encryption is enforced for all connections. For Redshift Serverless, the same connection options apply. This means you do not need to expose your cluster to the public internet to use the integration.
Yes. Improvado MCP queries Redshift using standard SQL connections, so any table or view accessible to the configured database user — including Redshift Spectrum external tables backed by S3 — is queryable. The integration treats Spectrum tables identically to native Redshift tables. Ensure the Redshift IAM role associated with your Spectrum schema has appropriate S3 read permissions for the external data to be returned correctly.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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