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CoursesAgentic Ai
Custom Tooling The "Model Context Protocol" (MCP)
Agentic Ai
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.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 Weeks

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About 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.

Training Plan

01

About trainer

Working professional who is carrying more then 10 years of industry experience.

02

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03

e-Book

E-book provided by TechPratham. All rights reserved.

04

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05

Video Recording

Daily Session would be recorded and shared to the candidate.

06

Projects

Live projects will be provided for hands-on practice.

07

Resume Building

Expert-guided resume building with industry-focused content support.

08

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Custom Tooling The "Model Context Protocol" (MCP) Course Curriculum

Introduction to Model Context Protocol (MCP)

Understand MCP fundamentals, its role in context-aware LLMs, and enterprise applications with Tech Pratham.

Overview of MCP and its significance in LLM workflows
Differences between traditional LLM usage and context-aware systems
Importance of MCP in enterprise-grade AI applications
Real-world use cases of context-driven AI agents

Foundations of Custom Tooling

Learn how custom tools enhance LLM workflows, enable automation, and improve decision-making in real-world scenarios.

Introduction to custom tooling for LLMs
Types of tools and integrations (APIs, databases, external services)
How custom tooling enhances AI decision-making and automation
Best practices for enterprise LLM tooling

MCP Architecture and Workflow

Master context management, memory, and session state design for structured, reliable LLM workflows.

Core components of MCP: context management, memory, and session states
Structured conversation design and context persistence
Multi-step decision-making with context tracking
Integration with LLM pipelines and automation workflows

Building Context-Aware Agents

Design intelligent, context-driven agents with tool integration, multi-step workflows, and error-handling strategies.

Designing agents with MCP for dynamic, real-time context handling
Implementing custom logic and tool calls
Handling complex workflows with multiple agents
Error handling, retries, and fallback strategies

Enterprise Integration with Custom Tools

Connect MCP-enabled agents with enterprise systems like ERPs, CRMs, and APIs for scalable automation.

Connecting MCP-enabled agents to ERP, CRM, and internal tools
Real-world enterprise workflow automation
API orchestration, tool validation, and output structuring
Security and governance best practices for enterprise LLMs

Monitoring & Production Reliability

Implement logging, monitoring, and troubleshooting to maintain reliable and observable MCP-driven AI agents.

Implementing logging and monitoring for context-aware agents
Detecting anomalies and maintaining output reliability
Metrics and observability for MCP workflows
Troubleshooting production issues in enterprise AI systems

Agentic Ai Courses

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Additional Program Highlights

Learning Materials
Resume Writing
Interview Preparation
Interview Preparation

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Who Should Take Custom Tooling The "Model Context Protocol" (MCP)

IT Professionals

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Fresh Graduates

Key Projects

Custom Tooling The "Model Context Protocol" (MCP)

Microsoft

MicrosoftUnified AI Context Bridge


Scenario: Developed custom tooling using Model Context Protocol to standardize AI model communication secure context sharing and enterprise workflow orchestration.

Live Work:

  • Built MCP compliant connectors
  • Secured context exchange APIs
  • Integrated Azure AI services
Outcome: Enabled secure AI tool interoperability
Amazon Web Services

Amazon Web ServicesCloud Model Integration Grid


Scenario: Implemented MCP based framework to orchestrate multi model interactions automate context routing and ensure scalable cloud AI deployments.

Live Work:

  • Designed MCP routing logic
  • Automated model orchestration
  • Integrated AWS Lambda flows
Outcome: Optimized multi model performance
Google

GoogleIntelligent Context Fabric


Scenario: Executed custom MCP tooling to harmonize data pipelines enable real time AI context management and streamline developer workflows.

Live Work:

  • Developed context adapters
  • Managed real time pipelines
  • Secured cross model access
Outcome: Enhanced AI workflow scalability
Salesforce

SalesforceEnterprise AI Protocol Hub


Scenario: Led MCP implementation enabling CRM integrated AI assistants secure context persistence and enterprise grade automation controls.

Live Work:

  • Integrated MCP with CRM data
  • Configured secure context vault
  • Built automation triggers
Outcome: Strengthened AI driven CRM automation

Placement Process

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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

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Beyond Courses:

Additional Support We Provide

24/7 Support

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What is the Model Context Protocol (MCP)?

Why is custom tooling important for LLMs?

Who should enroll in this MCP course?

How does MCP improve LLM reliability?

What skills will learners gain from studying MCP?

Does the course cover context management in LLMs?

Industry-Recognized Certification

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