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Webinar | MCP for PostgreSQL: Automated Health Checks & Performance Analysis
Model Context Protocol (MCP) is rapidly becoming the standard way to connect AI agents to external tools, and PostgreSQL is one of the most valuable places to apply it.
Join Warda Bibi, PostgreSQL Consultant at Stormatics, on 17 June 2026 at 3 PM GMT for an in-depth session exploring a production-grade MCP server that gives AI agents deep, safe access to your Postgres database for health monitoring, index analysis, and performance diagnostics. Warda will go beyond the basics, covering setup, access control, and how to trust an AI agent running against your production database.
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This webinar will cover:
→ What MCP is and why it matters for database tooling
→ Overview of the PostgreSQL MCP ecosystem
→ postgres-mcp deep dive: capabilities, architecture, transport options (stdio vs SSE)
→ Health checks in practice: buffer cache, bloat, vacuum health, replication lag, sequence exhaustion
→ Index analysis and simulation using hypopg
→ The LLM-driven index optimization loop
→ Access modes - why --access-mode restricted is non-negotiable in production
→ Real deployment issues
→ Demo
→ MCP pros and its current limits
About the Speaker
Warda Bibi
PostgreSQL Consultant, Stormatics
Warda is a PostgreSQL Consultant who helps organizations build, optimize, and scale their database systems efficiently. With expertise in PostgreSQL internals, she works closely with engineering teams to design high-performance architectures that meet both technical and business needs. At Stormatics, she delivers specialized PostgreSQL services, from query tuning to scalability solutions, helping clients achieve reliability and peak performance. Her hands-on approach stems from experience solving real-world database challenges in demanding production environments.
An active part of the PostgreSQL community, Warda shares her knowledge through technical guides and articles. She collaborates in patch reviews, hacking workshops, and community-driven initiatives, driven by a passion for making PostgreSQL more powerful and accessible for all users.