MCP Deep Dive: Connect AI to Tools with Guardrails
MCP & Tool Interoperability: leave with an MCP server exposing scoped tools and resources with auth and a permission-boundary test.
Not scheduled yet — no date, time or fee fixed. The most-voted topic is hosted next.
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Learn this topic with a mentor
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- Bring your own work — code, campaign, report or plan
- Mentor matched to this topic
- Time, format and fee confirmed by email first
What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Why mcp & tool interoperability matters — the common problem: AI tool integrations are one-off and give models far more access than they need.
- 2Core concepts in plain language: Model Context Protocol, hosts, clients, servers, tools, resources
- 3Going further: prompts, capability negotiation, transports, authentication, authorization, tool schemas
- 4Framework walkthrough: Workflow-vs-Agent Decision, Human-in-the-Loop Approval, Model Context Protocol
- 5Practical workflow, built live: An MCP server exposing scoped tools and resources with auth and a permission-boundary test.
- 6How to measure it: Task success rate, Tool-call correctness, Human-approval rate, Cost per completed task
- 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation
Who it's for
- • Students and freshers entering tech
- • Working developers and engineers
- • Tech leads and architects
You'd leave with
- An MCP server exposing scoped tools and resources with auth and a permission-boundary test.
- A working understanding of Workflow-vs-Agent Decision and Human-in-the-Loop Approval
- A short list of measures to track: Task success rate, Tool-call correctness, Human-approval rate
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