
Canva connection
Connect Canva to an AI workflow and turn a structured campaign brief into an editable design deliverable.
In 2 live sessions you'll go from zero to production MCP — configure servers in Claude Code and Cursor, wire up Claude.ai connectors, and build a live integration with your own tools and data.
Secure payment via Stripe
Oct 31 – Nov 1, 2026
9:00 AM–11:00 AM UTC
2 live sessions
2 hrs each
Recordings included
1-year access
Certificate included
Verified on completion
Intermediate level
Recommended experience
View full agenda
Built for real workWhy take this workshop?
Most people still use AI in a chat box. MCP lets you connect it to the tools and data where work actually happens. Learn the connection layer now, before dependable tool use becomes a baseline expectation for technical teams.
Move from copy and paste to useful actions across Jira, Canva, internal APIs, and your own data.
Learn hosts, servers, tools, resources, authentication, and the decisions that make a connector dependable.
Built, not watched
Every project becomes a working artifact you can keep, adapt, and show. You leave with more than notes.

Connect Canva to an AI workflow and turn a structured campaign brief into an editable design deliverable.

Connect Jira, query project context, and create or update an issue through a live, permission-aware workflow.

Live curriculum
2 days · 2 hours each · All sessions recorded
MCP Architecture — Hosts, Clients, Servers & Transports
Learn what MCP actually is: a standard protocol that lets AI hosts (Claude Code, Cursor, Claude.ai) talk to MCP servers that expose tools, resources, and prompts. Understand the difference between stdio (local process) and SSE/HTTP (remote) transports. Browse the MCP server ecosystem — Anthropic's official servers, community servers, and the explainx.ai MCP directory.
Configure MCP in Claude Code, Cursor & Claude.ai Connectors
Configure MCP servers in Claude Code (.claude/settings.json) and Cursor (mcp_servers config). Connect to GitHub, Postgres, or a browser automation server and make your first live tool call. Then switch to Claude.ai — set up built-in connectors (Google Drive, GitHub, Jira, etc.) for users who don't run a local CLI. Understand when to use each approach.
You will build
Build a Custom MCP Server
Use the MCP TypeScript or Python SDK to build a simple MCP server that exposes a tool, a resource, or a prompt. This could wrap an internal API, a CSV, a database query, or a custom automation. Test it locally with Claude Code. No prior MCP experience required — we start from the official SDK quickstart and extend it live.
MCP Security, Verification & Team Setup
Cover supply-chain risks for MCP servers — typosquatting, prompt injection via tool results, and unverified servers. Learn SkillSpector-style verification patterns and how to review a server's code before running it. Set up a team MCP config with a curated server list, version pinning, and an onboarding doc so every developer on your team starts with the same approved integrations.
You will build
Included learning assistant
You get pre learning support, the complete MCP Bootcamp: Connect Claude to Everything content in one learning context, and post learning practice to help the ideas stick.
Before
Prepare with the key ideas and ask what to expect.
During
Ask across all workshop content without losing context.
After
Review, practise, and apply the material to your own work.
Complete both sessions and receive a verified certificate from explainx.ai — add it to your LinkedIn, portfolio, or resume.

Sample only · Each issued certificate has a public verification UUID
View sample certificate ↗Real messages from students who trained with Yash across his live AI workshops and bootcamps.
Built around real workPrivate team sessions
Bring MCP Bootcamp: Connect Claude to Everything to your company with examples, projects, and guidance shaped around the tools your team already uses.
Oct 31 – Nov 1, 2026 · 2 days · 2 hrs/day
$79.00$99.00
20% early bird — ends Oct 24 · Only 48 seats remaining
Annual includes this plus 5× more Melo usage than Free — every workshop, $300/yr
faq
Everything you need to know before enrolling.
Comfort with a terminal and basic JSON config files is enough for Sessions 1–2. Sessions 3–4 (building a custom server) work best if you know some TypeScript or Python. The Claude.ai connectors section requires no code at all.
Join 350K+ learners
Live, hands-on, and capped so sessions stay interactive.
Reserve your seat48 seats remaining
Early bird

Founder of AISOLO Technologies; AI entrepreneur & educator
350K+
Students
12+
Yrs exp
3
Startups
Yash Thakker is the founder of AISOLO Technologies and one of the most sought-after AI educators in the country. He's known for one thing above all: by the end of any session, students have already built something — no saving it for 'later.' His classes are built around real-life, happening-right-now examples, zero dry theory, and a teaching energy that makes complex things feel obvious. With over a decade shipping AI products across media, fintech, and edtech, Yash has delivered every learning format imaginable — in-person workshops, live bootcamps, online courses, and hybrid sessions — always exploring new ways to make learning land faster. He's obsessed with what learning looks like for this generation, now that AI changes what's even worth teaching. He has reached 350,000+ learners and is the creator behind Olly.social, BGBlur.com, Infloq.com, and explainx.ai.
Practice verification and permissions so your team can adopt connectors without treating every server as trusted.
Build and test a custom connector that exposes a real tool, resource, or data source from your own stack.