Deesha AI · SkillLab
Give Your Agent Hands: MCP Tooling Lab
Two hands-on days connecting an AI application to real systems: tool calling done properly, MCP servers wired in and scoped, safe reads from a live database, business actions gated behind human approval, and the tracing that tells you what the model actually did with the access you gave it.
Designed for
- Developers whose AI application can talk but cannot act
- Teams wiring assistants into internal APIs and databases
- Engineers who configured an MCP server once and want to understand what happened
- Anyone deciding what an AI application may touch, and how to prove it touched nothing else
- Fee
- ₹2,700
- Duration
- 2 days · 16 hours
- Each day
- 09:00 – 17:00
- Mode
- Offline / Online
The 2 days, hour by hour
10 hands-on sessions: every one ends in a thing
Day 1
09:00 – 17:00Give it hands
5 sessions09:00 – 10:15
See what tool calling actually is
the tool loop on the wire, schemas as the contract, where MCP fits
Takeaway One tool call read message by message (request, decision, invocation, result) so nothing later is folklore.
10:30 – 11:45
Design tools a model cannot misuse
schema design, naming and descriptions that steer, failing usefully
Takeaway A vague tool redesigned until the model stops misusing it, the improvement measured in call error rate.
12:00 – 13:00
Wire in your first MCP server
connecting existing servers, discovery, scoping what is exposed
Takeaway An off-the-shelf MCP server connected to your application, with half its tools deliberately switched off.
14:00 – 15:15
Let it read a real API
external APIs as tools, auth at the boundary, response shaping
Takeaway The model answering questions it can only answer by calling a live API, keys never entering the prompt.
15:30 – 17:00
Let it read your database, safely
read-only access patterns, query scoping, what must never be exposed
Takeaway Natural-language questions answered from a real database through a scoped read-only tool, and one forbidden table proved unreachable.
Day 2
09:00 – 17:00Let it act, within limits
5 sessions09:00 – 10:15
Give it a business action
actions vs reads, side effects behind tools, transaction boundaries
Takeaway The model completing a real business operation through a tool, with the write path wrapped in a transaction it cannot escape.
10:30 – 11:45
Put a human before the consequence
approval gates, what needs approval and what does not, escalation
Takeaway A consequential action paused for explicit approval, and proceeding cleanly after it, demonstrated both ways.
12:00 – 13:00
Hold the security boundary
least privilege per tool, credentials and secrets, injection through tool results
Takeaway A prompt-injection attempt arriving through a tool result, caught at the boundary instead of obeyed.
14:00 – 15:15
Trace everything it does
tool-call tracing, audit logs, cost of tool-heavy conversations
Takeaway A trace that accounts for every tool call in a session: who asked, what ran, what it returned, what it cost.
15:30 – 17:00
Wire the full application and defend it
API plus database plus action together, the access review, demo
Takeaway Your application using all three systems in one conversation: demoed, traced, and its access defended to the room.
By the end of day 2, you are holding
Your AI application connected to three real systems (an API, a database and a business action) through tools and MCP, with permissions scoped to least privilege, a human approval gate on the consequential action, and a trace log that accounts for every call the model made.
No dates announced
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Who runs it
Practitioners, in the room with you
All trainers and mentorsEach workshop names its trainer before you book.

Vishal Shah
Founder & Principal Trainer
Two decades building and teaching commerce, banking and cloud platforms, and still writing code
- Java & Spring Boot microservices
- TypeScript, React, Angular & Next.js
- Composable commerce (commercetools)

Shrenik Shah
Principal Trainer
Cloud and AI architect who has upskilled over 5,000 engineers in Java, React, Python and cloud
- Python: Django, Flask, GenAI & agentic workflows
- Java & Spring Boot
- React & Angular, micro-frontend architecture
Running this for a team?
We deliver SkillLabs on site for institutions and engineering teams.
₹2,700
2 days · 16 hours