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How to Use Claude and Configure MCP: A Practical Guide for Everyday Users and Technical Teams Connecting Claude to Real Tools
- Understanding Claude: Models, Products, and Plans
- Choosing the Right Model — Haiku, Sonnet, and Opus
- Claude for Everyday Work: Projects, Artifacts, Web Search, and Skills
- What MCP Actually Is and the Problem It Solves
- Configuring Custom Connectors in claude.ai (Individual and Team/Enterprise)
- Setting Up MCP Servers in Claude Desktop (Extensions and JSON Config)
- MCP for Developers: Claude Code and the Agents API
- Building Your Own MCP Server
- Security, Permissions, and OAuth Best Practices
- Troubleshooting Common Configuration Failures
Overview of the webinar
Claude is available through several products — the claude.ai chat interface, Claude Code for developers, Claude Cowork for non-developers, and the API for custom applications — and choosing the right model tier (Haiku, Sonnet, or Opus) for a given task meaningfully affects both speed and cost. This session opens with a practical walkthrough of that landscape before moving into the heart of the topic: the Model Context Protocol.
MCP is an open standard, now governed by the Linux Foundation, that lets Claude connect to external tools and data sources through a single, universal interface rather than a custom integration for every combination of AI model and tool. The session walks through exactly how an MCP request flows from a user's question to a tool's response, then provides hands-on configuration guidance for every major surface: adding custom connectors in claude.ai for individual and Team/Enterprise accounts, setting up local MCP servers in Claude Desktop via both Desktop Extensions and JSON configuration, and declaring MCP servers programmatically through Claude Code and the API.
The session closes with a security-first perspective on connector permissions, a practical troubleshooting reference for the most common configuration failures, and a clear set of actions attendees can take immediately after the session ends.
Who should attend?
- IT Directors
- Software Engineer
- DevOps/DevSecOps Engineer
- Knowledge Worker
- Operations Manager
- Business Analyst
- Solutions Architect
- IT Security Manager
- Compliance Officer
- Executive Assistant
- Productivity/Tools Lead
- Engineering Manager
- Multi Industry — Information Technology, Knowledge Work, Corporate Operations
- Technology & SaaS — AI/ML Platform Teams, DevSecOps, Cloud-Native Engineering
- BFSI — Banks & Credit Unions, Risk and Compliance Teams Adopting AI Tools
- Hospital & Healthcare — Healthcare IT, Administrative and Clinical Support Teams
- Professional Services — Legal, Consulting, and Knowledge Management Teams
Why should you attend?
Most people use a fraction of what Claude can actually do. The gap between typing a question and having Claude search your files, run code, browse the web, and act inside your team's tools is almost always a configuration problem, not a capability problem. The Model Context Protocol (MCP) is the standard that closes that gap, and it now connects Claude to thousands of external tools and data sources.
This webinar is designed for two audiences at once: people who simply want to get more out of Claude in their daily work, and technical teams who need to configure, secure, and build MCP connections for their organization. Attendees will leave with a clear, working understanding of how to choose the right Claude model for a task, how to add and manage connectors safely, and how to troubleshoot the handful of issues that account for nearly every setup problem.
Faculty - Mr.Abdur Rahman
Abdur is a strategic leader focused on the intersection of artificial intelligence, cybersecurity, accounting, and regulatory risk. He helps organizations navigate complex technology environments while strengthening AI governance, security, financial accountability, internal controls, enterprise risk management, and regulatory readiness.
His work centers on the responsible adoption of artificial intelligence across enterprise systems and decision-making processes. He examines how AI governance intersects with cybersecurity, accounting, audit, privacy, compliance, legal obligations, and operational resilience, helping organizations establish practical frameworks for managing emerging risks and opportunities.
Abdur is a Certified Public Accountant (CPA) and a Certified Information Systems Auditor (CISA). He also holds AI-related certifications focused on artificial intelligence, AI governance, responsible AI, machine learning, and emerging technology risk, along with additional certifications spanning security, cloud technologies, governance, and related disciplines. His leadership reflects a multidisciplinary approach to building trustworthy, accountable, and resilient organizations in an increasingly AI-driven regulatory environment.