248 lines
5.2 KiB
Markdown
248 lines
5.2 KiB
Markdown
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MCP in Practice
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What is MCP?
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===
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* Open Standard
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* Created by Anthropic (Creators of Claude) in 2024
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* Allows LLMs to connect to data and systems
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* Enables _agentic_ workflows
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MCP gives tools to AI
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===
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<!-- speaker_note: Emphasis on tools -->
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Why MCP?
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===
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Without MCP
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===
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```mermaid +render +width:100%
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sequenceDiagram
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You->>LLM: I'm 10 minutes away from a demo, getting this error
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LLM->>You: Try this...
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You->>LLM: That didn't work! New error!
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LLM->>You: Gather this info..
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You->>LLM: Here it is...
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LLM->>You: Try this...
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loop
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You->>LLM:😤
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LLM->>You:😭
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end
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```
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<!-- speaker_note: quick walk through the sequence diagram -->
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<!-- speaker_note: Talk about the issues resolving complex problems in complex environments -->
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<!-- speaker_note: 1 narrow bandwidth interface -->
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<!-- speaker_note: 2 lack of wider context (i.e. not knowing gitops pattern in play causing LLM to patch in place) -->
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<!-- speaker_note: 3 imprecise input -->
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<!-- speaker_note: The LLM is compelled to solution quickly for user satisifaction and token minimization BUT...-->
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<!-- speaker_note: Complex problems demand a lot of information, iteration and context -->
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<!-- speaker_note: Result is Frustration -->
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Why MCP?
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===
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With MCP...
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===
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```mermaid +render +width:100%
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sequenceDiagram
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You->>LLM: I'm 10 minutes away from a demo, getting this error
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LLM->>You: Let me check that..
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LLM->>OCP: Get pod list
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LLM->>OCP: Get pod logs
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LLM->>ArgoCD: Get GitOps application
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LLM->>Git: Get Git repo
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LLM->>LLM: Plan fix
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LLM->>You: Here is the plan. Requesting Approval
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You->>LLM: Approved
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LLM->>Git: Push fix to Git
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LLM->>OCP: Verify change applied
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LLM->>You: Applied Succesfully
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```
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<!-- speaker_note: quick walk through the sequence diagram -->
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<!-- speaker_note: MCP gives the LLM agency to carry out complex, multi-step plans -->
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<!-- speaker_note: Collecting and collating from multiple sources -->
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<!-- speaker_note: Providing _intelligent_ summaries -->
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<!-- speaker_note: Taking actions, iterating and trying different paths when necessary -->
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Tools for the demo
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===
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* `openshift-mcp-server` - Kubernetes/OpenShift API operations
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* `gitea-mcp-server` - Git repository operations
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* `argocd-mcp-server` - ArgoCD (aka Openshift GitOps) application management
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<!-- speaker_note: Explain the tools in the wider context -->
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<!-- speaker_note: openshift - complete CRUD access -->
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<!-- speaker_note: gitea - ability to read and commit, create repos etc. -->
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<!-- speaker_note: ArgoCD - add and keep deployments in a specified state -->
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Prompt Engineering
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===
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Intent vs. Instruction
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===
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<!-- pause -->
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Ambiguity is the enemy of automation. If you don’t define ‘safe’… the AI will.
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<!-- end_slide -->
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<!-- font_size: 5 -->
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DEMO
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===
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<!-- speaker_note: Without further ado... -->
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<!-- speaker_note: Without further ado... -->
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<!-- end_slide -->
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Have fun exploring the world of MCP!
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===
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```bash +exec
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/// mpv --no-config --vo=none --really-quiet happy.webm
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```
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