Custom Tooling & The "Model Context Protocol" (MCP)
Learn Custom Tooling & the Model Context Protocol (MCP) to enhance LLM workflows, enable context-aware AI, and build scalable, production-ready solutions.
Level
Advanced
Duration
8 Weeks



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Custom Tooling & The "Model Context Protocol" (MCP)
Custom Tooling & the Model Context Protocol (MCP) is a cutting-edge approach to enhance LLM workflows by enabling context-aware AI agents, seamless tool integration, and scalable automation. With MCP, developers can maintain structured conversation states, improve decision-making, and ensure reliable outputs in production environments. Tech Pratham offers hands-on training on MCP and custom tooling, equipping learners with practical skills to build enterprise-ready, context-driven AI solutions that maximize efficiency, accuracy, and automation.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Custom Tooling & The "Model Context Protocol" (MCP)
Course CurriculumUnderstand MCP fundamentals, its role in context-aware LLMs, and enterprise applications with Tech Pratham.
Foundations of Custom Tooling
Learn how custom tools enhance LLM workflows, enable automation, and improve decision-making in real-world scenarios.
Master context management, memory, and session state design for structured, reliable LLM workflows.
Design intelligent, context-driven agents with tool integration, multi-step workflows, and error-handling strategies.
Connect MCP-enabled agents with enterprise systems like ERPs, CRMs, and APIs for scalable automation.
Implement logging, monitoring, and troubleshooting to maintain reliable and observable MCP-driven AI agents.
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Custom Tooling & The "Model Context Protocol" (MCP)
IT Professionals
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Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Context-Aware Customer Support Agent
Develop an LLM agent that provides customer support while maintaining full conversation context across multiple interactions. Use MCP to track session states, integrate external tools like CRM databases, and implement error handling and fallback mechanisms.
Multi-Agent Enterprise Workflow Automation
Create a system of multiple MCP-enabled LLM agents that handle enterprise workflows like HR onboarding or procurement approvals. Each agent performs specific tasks, communicates context across agents, and executes conditional workflows reliably.
Real-Time Decision Support System
Build an LLM agent that aggregates data from multiple tools (finance, analytics, operations), uses MCP to maintain decision context, and provides real-time recommendations for enterprise decision-making. Include monitoring, logging, and validation mechanisms for reliability.

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