“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
VNode ITeSIntermediate
Model Context Protocol Developer
MCP connects agents to tools, resources, and prompts. This VNode developer program covers protocol primitives, server implementation patterns, authentication boundaries, and enterprise allowlisting concerns. Labs focus on practical internal integrations — not claiming Anthropic or vendor certification.
Duration
16 hours
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
Microsoft
MCPIT
Model Context Protocol Developer
Model Context Protocol
AI Coding
On this page
Ideal for
Software Engineer, Platform EngineerMCPTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Platform and developer-experience engineers Backend engineers exposing internal tools to agents Security engineers reviewing agent tool access
Overview
Executive overview
Build and govern Model Context Protocol servers and clients so coding agents can safely use internal tools and data.
Readiness
Prerequisites
- Comfortable with TypeScript or Python APIs
- Understanding of OAuth or service identity basics
Program Outcomes
Capabilities your teams will gain
Implement an MCP server exposing tools and resources
Wire an MCP client into an agent workflow
Apply least-privilege design to tool schemas
Document enterprise controls for MCP adoption
Curriculum
Curriculum roadmap
1
MCP foundations and primitives
2
Building servers and clients
3
Security and identity for tool calling
4
Enterprise packaging and governance
1Module 1
MCP foundations and primitives
+
Module 1
MCP foundations and primitives
VNode-designed module covering mcp foundations and primitives for enterprise AI coding adoption.
- VNode-designed module covering mcp foundations
- primitives for enterprise AI coding adoption
2Module 2
Building servers and clients
+
Module 2
Building servers and clients
VNode-designed module covering building servers and clients for enterprise AI coding adoption.
- VNode-designed module covering building servers
- clients for enterprise AI coding adoption
3Module 3
Security and identity for tool calling
+
Module 3
Security and identity for tool calling
VNode-designed module covering security and identity for tool calling for enterprise AI coding adoption.
- VNode-designed module covering security
- identity for tool calling for enterprise AI coding adoption
4Module 4
Enterprise packaging and governance
+
Module 4
Enterprise packaging and governance
VNode-designed module covering enterprise packaging and governance for enterprise AI coding adoption.
- VNode-designed module covering enterprise packaging
- governance for enterprise AI coding adoption
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Implementation-focused labsPrivate cohort deliveryIntermediate practitioner depthBusiness outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Enables secure, reusable agent tool access to internal systems instead of one-off prompt hacks and shadow integrations.
- •Map labs to your repositories, languages, and delivery toolchain
- •Emphasize Copilot, Cursor, Claude Code, Codex, or a multi-tool mix
- •Add security, governance, or champion-enablement modules for enterprise rollout
Resources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Banking & Finance
Representative Enterprise Banking Team
The focus was not just on tooling knowledge, but on helping teams work from a shared operating model as they adopted a more modern data platform.
- Clearer platform operating model across teams
- Improved confidence in modern data stack adoption
Healthcare
Representative Healthcare Product Team
The engagement helped product and engineering stakeholders move from interest in AI to clearer implementation choices, security expectations, and prototyping discipline.
- Stronger alignment between product and engineering teams
- Improved clarity on prototype-to-production requirements
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios