HIGAET MCP Engineering
Build Model Context Protocol servers and clients, exposing tools, resources, and prompts with schemas, auth, and production-ready deployment practices.
Duration
6 weeks · 8-10 hours/week
Level
Intermediate
Delivery
Online
Status
Open for enrollment
Why this technology matters.
MCP engineering is the practice of building Model Context Protocol servers and clients so assistants can discover and use well-defined tools, resources, and prompts. It matters now because connecting models to real systems needs standard interfaces, not one-off integrations.
Engineering teams use MCP to expose APIs, data sources, and actions behind schemas with auth and clear error handling. It solves reusable tool exposure, capability discovery, and consistent invocation, but it does not fix poorly designed underlying APIs, missing permissions, or unsafe actions — a standard protocol cannot rescue a bad tool.
By the end you will be able to build an MCP server exposing tools, resources, and prompts, a capability manifest with JSON schemas and error responses, and an MCP client that discovers and invokes server actions in a deployed setup.
Why this course exists
The gap is between a hard-coded demo tool call and a production MCP interface with schemas, auth, versioning, and reliable deployment. This course teaches the arc from Model and Prompt through Context and Tools to Evaluation, Security, Infrastructure, and Production, so students can ship interoperable servers and clients.
Know exactly what you're signing up for.
Who is this for
Prerequisites
- Comfortable with Python and REST APIs
- Familiarity with JSON schemas and auth concepts
- Basic client-server development knowledge
Technologies & tools
Skills you'll gain
A 6 weeks arc, module by module.
- Module 01
Module 01 — Foundations: MCP concepts, servers, clients, and transports
- Module 02
Module 02 — Core: Tool definitions, schemas, and resources
- Module 03
Module 03 — Core: Prompts, context assembly, and capability discovery
- Module 04
Module 04 — Engineering: Backend integrations for files and APIs
- Module 05
Module 05 — Production: Auth, validation, logging, and versioning
- Module 06
Module 06 — Capstone: Ship a tested MCP server with a demo client
Practical Training Flow
Learning → Guided Labs → Independent Practice → Industry Project → Capstone → Portfolio → Career Preparation. Practical hours are tracked alongside instructional hours and surfaced on the certificate.
Delivery as HIGAET Practical Training / Experiential Learning.
What you'll be able to do.
- Build MCP servers exposing tools, resources, and prompts
- Design JSON schemas, capability manifests, and error responses
- Develop MCP clients that discover and invoke server actions
- Integrate file, database, and API backends behind MCP tools
- Deploy versioned MCP servers with logging and health checks
- Evaluate tool correctness, schema compliance, and edge cases
- Secure tokens, scopes, rate limits, and input validation
- Automate regression tests for tool contracts and upgrades
You will build.
Every project ships as HIGAET Practical Training / Experiential Learning — portfolio-ready work, not exercises.
- Project 01
Tool-exposing MCP server
- Project 02
Resource and prompt MCP service
- Project 03
MCP discovery client
- Capstone
Production-ready MCP server and client deployment
Speak the language first.
- Model Context Protocol
- An open standard for connecting AI clients to servers that expose tools, data, and prompts.
- MCP servers
- Services that publish tools, resources, and prompts for AI clients to discover and call.
- MCP clients
- Applications that connect to MCP servers, list their capabilities, and invoke actions.
- Tools
- Callable functions a server exposes, such as looking up records or running calculations.
- Resources
- Data objects a server shares, such as files or records, that clients can read with context.
- JSON schemas
- Formal descriptions of inputs and outputs that validate calls between client and server.
- Capability manifests
- Declarations of what a server offers so clients know which actions are available.
- MCP auth
- Credential checks that control which clients and users may call server actions.
- Error responses
- Structured failure messages that tell the client what went wrong and how to retry.
Fix, check, and go deeper.
Troubleshooting & common mistakes
Client cannot discover server tools
Verify the capability manifest is served correctly, check the server URL and version, and confirm the client lists capabilities after connect.
Tool calls fail schema validation
Compare the sent arguments against the JSON schema field by field, fix types or missing fields, and re-test with a minimal payload.
Auth rejects valid clients
Check token scope and expiry, confirm the server auth settings match the client credentials, and inspect auth logs.
Server returns vague errors
Standardize error responses with codes and messages, add request logging, and reproduce with a single isolated call.
Deployed server drops connections
Review hosting logs for restarts or timeouts, add health checks, and confirm the transport settings match the client.
Before you move on, you should be able to
- Build MCP servers exposing tools, resources, and prompts
- Design JSON schemas, capability manifests, and error responses
- Develop MCP clients that discover and invoke server actions
- Evaluate tool contracts for correctness and safety
- Deploy MCP servers with auth and production practices
- Explain how clients, servers, and schemas interact in MCP
- Build auth checks into server tool handlers
Start your application.
Share a few details and a HIGAET advisor will reach out within one business day with next steps.
Common questions
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