Recommended Trending Building MCP Servers & AI Tool Integrations
Master the Model Context Protocol (MCP) — Anthropic's open standard for connecting AI models to external tools and data. Build custom MCP servers, expose APIs to Claude, and architect next-gen AI integrations.
Oleksii Anzhiiak
Software Architect, Senior .NET Engineer & Co-Founder
By the end you'll be able to
- Build MCP servers that expose tools / data to AI assistants like Claude Desktop and Cursor
- Understand the MCP protocol end-to-end — JSON-RPC, capabilities, transport
- Add a real internal tool to your team's Claude or Cursor workflow
- Reason about MCP security, auth, and rate-limiting properly
- Position yourself as the MCP-aware engineer on your team — there are very few in 2026
Is this course for you?
This is right for you if you…
- You ship code in production and your team uses Claude / Cursor — MCP is the integration layer everyone is about to need
- You see internal tools at your company that should be one Claude command away — and you want to be the one who builds that
- You're a Senior engineer wanting to position on the next leverage point before it's commoditised
Don't take this course if you…
- You don't write code yet — MCP is plumbing for AI assistants; without code, this course is conceptual without payoff
- You haven't worked with LLM APIs at all — go through #21 (Prompt) + #22 (RAG/Agents) first; MCP makes more sense after you've built something with raw SDKs
- You expect MCP to replace prompt engineering — it doesn't. It connects assistants to your tools; the prompts still matter
Who teaches this
Oleksii Anzhiiak
Software Architect, Senior .NET Engineer & Co-Founder
Oleksii Anzhiiak is a Software Architect, Senior .NET Engineer, and Co-Founder of ToyCRM.com and ProfectusLab. With over 15 years of experience, he specializes in distributed systems, cloud infrastructure, high-load backend development, and identity platforms. Oleksii designs complex architectures, builds secure authentication systems, and develops modern engineering education programs that help students achieve real career results.
Currently leads architecture for ToyCRM.com — a multi-tenant CRM platform built on .NET by our team. The same patterns and design decisions used there appear directly in the courses: identity & auth, distributed services, code review culture. You learn from engineers actively shipping production code, not from a textbook.
Syllabus
Six modules to master MCP and build the next generation of AI integrations:
- 1 Module 1: MCP architecture — protocol overview, transports (stdio, SSE), capability negotiation
- 2 Module 2: Building your first MCP server — tools, resources, prompts, TypeScript SDK
- 3 Module 3: MCP server in Python & .NET — SDK usage, schema definitions, error handling
- 4 Module 4: Connecting databases and APIs — expose SQL, REST, and file system via MCP tools
- 5 Module 5: Security and authentication — OAuth 2.1, token scopes, sandboxed tool execution
- 6 Module 6: Production MCP deployments — containerization, remote servers, multi-client setups
Prerequisites
Strong backend experience. Node.js & REST APIs, AI-Powered .NET, or LLM-Powered Apps recommended.
Strong backend development experience required. Familiarity with REST APIs and at least one of: Python, TypeScript, or C#.
What you'll build
You leave with a working MCP server that you can drop into your team's Claude or Cursor today — exposes a real internal tool (DB query, deployment hook, monitoring lookup) to the AI assistants developers actually use. This is the integration skill no public course teaches as of 2026.
- MCP protocol: JSON-RPC, transports, lifecycle
- Tools, resources, prompts — what each is and when to use it
- Building servers in TypeScript / Python / C#
- Authentication and security boundaries for MCP
- Real-world MCP patterns: company internal tools, repo tools, data tools
Where this fits in your career
Read alongside this course
Durable Execution for Agents: The Fifth Discipline Your .NET Background Already Prepared You For
Spec is the truth. Context is the assembly. Evals are the proof. OpenSpec is the operating system. The substrate underneath — the thing that keeps a multi-step agent alive across retries, restarts, and the human-in-the-loop who walks away from their desk at 5pm — is durable execution. Every .NET engineer who's ever shipped a MassTransit saga already understands the pattern; here's how it maps onto serious AI agents in 2026, and why it's the fifth discipline that finally closes the arc.
OpenSpec in 2026: The Operating System for Spec-Driven Development
Six weeks ago I installed @fission-ai/openspec. Yesterday I shipped a 14-file change in 90 minutes from a 200-line spec, in a brownfield codebase three engineers have been editing for two years — no merge conflicts, no review escalation. This is the senior-architect deep-dive on why OpenSpec is the first SDD tool that doesn't collapse under production reality.
Evals in 2026: The Test Suite for Systems That Aren't Deterministic
Your AI feature worked yesterday and fails today. No code change, no prompt change, no model change. That's what life without evals looks like. This is the third leg of the spec → context → evals trinity — and the discipline most teams skip.
First lesson on us. Decide after meeting your instructor.
Sit in on the first session. If after lesson 1 you decide the instructor isn't the right fit, you don't pay for it — and no awkward conversation. (Trial offer applies to courses with more than 5 lessons; this one qualifies.)
Pricing & what's included
What's included
- 12 live sessions × 2 hours each — taught by the instructor, not a recording playback
- Slide deck for every session — yours to keep and refer back to
- Working code files and any data files used in class — cloned to your machine
- Weekly homework with personal code review from the instructor
- Recording on request — give the teacher a heads-up ("can't make Tuesday, please record it") and the session is recorded for you
Frequently asked questions
How much time per week will this take?
Plan for the live sessions plus roughly 1.5–2 hours of practice per session. Most students who finish on schedule put in 4–6 hours a week total. If you put in less, you still finish — it just takes longer.
What if I miss a class?
Tell the teacher BEFORE the session — "I can't make Tuesday, please record it" — and the teacher records that lesson and sends it to you. Recordings aren't a default catch-up archive; they're produced on request when you give a heads-up. After the lesson you do the homework, bring questions to the next session.
What's included in the price?
Live sessions with the teacher; the slide deck for each session (yours to keep); the working code files and any data files used in class; weekly homework with code review; and recordings of the sessions you give advance notice for. Anything beyond that — a certificate, alumni access, mock interviews — is listed explicitly in "What's included" above the FAQ for the courses where it applies.
What if I sign up and the teacher isn't a fit?
For courses with more than 5 lessons, the first session is effectively a trial — if after lesson 1 you decide the teacher isn't a fit, you don't pay for it. We'd rather you walk away after one lesson than push through 9 weeks of bad chemistry. (Courses with 5 or fewer lessons are short enough that the standard pricing applies — the trial offer doesn't make sense at that length.)
Can I get a refund partway through?
Yes, while more than half the course is still unused — i.e. you've attended fewer than 50% of the lessons. The refund covers the unused portion proportionally. Past the halfway point we don't refund, on the assumption that the value has been delivered.
Can I switch the language of instruction?
The live sessions run in the language listed under "Available Languages" above. Slides and code files are typically available in all four (English, Russian, Ukrainian, Georgian). Many students attend sessions in one language and read materials in another — that's normal.
Will I be ready for a real job after this course?
One course rarely gets anyone hired by itself — for any field. What this course gives you is the foundation a junior hiring manager expects: working code you wrote yourself, the vocabulary to read other people's code, and the practice habits that make you employable. The honest answer to "am I ready?" is on our roadmap (link in the page header) — open the level you want to reach and read the "You're ready when" checklist.
Can I pay in instalments?
Yes for courses with a "Monthly Payment" option in the at-a-glance ribbon — usually two or three equal monthly payments. Courses without that option are paid in one go. If the price is the blocker, write to us — we look at every case.