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One MCP connection. Full PostgreSQL context. No more psql tab-switching — just ask.
Stop writing complex SQL queries just to answer a business question. Ask your AI agent to query your PostgreSQL database in plain language — it discovers the schema, writes the query, executes it safely, and returns a clean answer.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Run safe data updates, create views and indexes, manage table structures, and execute maintenance operations — all through natural language with explicit confirmation before any destructive action.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Track query performance, table bloat, replication lag, and connection pool health automatically. Get AI-powered alerts before a slow query or replication gap becomes a production incident.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Run safe data updates, create views and indexes, manage table structures, and execute maintenance operations — all through natural language with explicit confirmation before any destructive action.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
PostgreSQL holds the source of truth for product and customer data, but answering business questions from that data requires writing SQL — a skill most product managers, marketing analysts, and operations leads don't have. Every data request flows through an engineering or analytics bottleneck. A question that should take 30 seconds to answer takes 2 days to get into a sprint, 30 minutes to implement, and another day to get reviewed.
Improvado MCP gives non-technical users natural language access to PostgreSQL data through the AI agent. The agent discovers the schema, translates the business question into safe SQL, and returns a clean answer — without routing through engineering. Engineers keep ownership of write access while analysts get self-service read access.
Even experienced PostgreSQL users spend significant time writing queries for unfamiliar parts of the schema. Discovering the right tables, understanding the join conditions, handling NULLs, and verifying the result against expectations takes 30–90 minutes for a complex analytical query — time that compounds when the same pattern repeats across different questions every week.
Your AI agent generates production-quality PostgreSQL queries from natural language descriptions. It uses the live schema to write correct JOINs, handles edge cases like NULL values and timezone conversions, and explains what the query does — so engineers can review, trust, and reuse it.
Analytics teams often run heavy queries directly against PostgreSQL production databases because that's where the freshest data lives. Without query review, a full table scan on a 100M-row events table can spike CPU and degrade response times for production traffic. But setting up a read replica specifically for analytics is a multi-week project that never gets prioritized.
Improvado MCP executes PostgreSQL queries with automatic safety checks: EXPLAIN ANALYZE preview, row count estimation before full execution, and query cost thresholds. Expensive queries are flagged for review before they run, protecting production performance while enabling analytics access.
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.
PostgreSQL MCP is a Model Context Protocol server that connects your PostgreSQL database to AI agents like Claude, ChatGPT, and Gemini. It lets you query data, analyze schema structure, run maintenance operations, and monitor database health — all in natural language, with built-in safety controls to protect production.
All tables, views, materialized views, schemas, and database objects accessible by the configured PostgreSQL user. The AI agent also has access to system catalogs (pg_stat_activity, pg_stat_user_tables, etc.) for performance and health queries — if the user role permits.
Both, depending on the PostgreSQL user role you configure. For read-only analytics use cases, configure a read-only role — the agent will only execute SELECT queries. For administrative use cases, a role with broader permissions enables CREATE, UPDATE, and maintenance operations. Write operations include an explicit confirmation step.
Improvado MCP includes query safety controls: automatic EXPLAIN ANALYZE for queries estimated to scan large row counts, configurable query timeout limits, and a query cost threshold that prompts for confirmation before executing expensive operations. You can also configure the integration to route queries to a read replica instead of primary.
Yes. Improvado stores PostgreSQL connection credentials in an encrypted vault certified to SOC 2 Type II. Connections use SSL by default. The AI agent never accesses credentials directly — all queries are proxied through Improvado's secure layer using the configured database user.
Under 3 minutes. Provide your PostgreSQL connection string (host, port, database, user, password), configure SSL if required, and add the MCP server URL to your AI agent. For security, Improvado recommends creating a dedicated read-only role for analytics queries.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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