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Intro To Agentic Ai Mcp Unsloth

mcp-matthew-sayer-intro-to-agentic-ai-mcp-unsloth · by matthew-sayer

An introduction to agentic AI, MCP server development, and SLM fine-tuning - in easy to follow Jupyter notebooks.

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Install

$ agentstack add mcp-matthew-sayer-intro-to-agentic-ai-mcp-unsloth

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Introduction to Agentic AI, MCP and fine-tuning Workshop - Matthew Sayer

Welcome to my intro to Agentic AI, MCP and fine-tuning workshop repo.

This set of workshops, packaged into easy to follow Jupyter notebooks, aims to introduce participants to Agentic Systems, MCP and fine-tuning, and start to demonstrate their application in solving real-world problems.

Do the workbooks in this order:

Recommended:

  1. Run through mcp_intro.ipynb first and run your server.
  2. Run all of the agenticaiintro.ipynb steps including the MCP server optional steps at the end.
  3. Go to the finetuningunsloth.ipynb notebook and complete the linked Colab notebook to learn how to fine-tune a small language model.

Alternative (simplified)

  1. Go straight to the agenticaiintro and run that on its own up to the Optional section at the end with MCP.

Prerequisites

Required:

  • Python 3.13+ with uv
  • ollama

Getting Started

  1. Create and activate a virtual environment with uv (as shown in the notebooks)
  2. Run the Jupyter notebook to build and execute the agent

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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