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This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

frameworkJupyter NotebookMIT
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OverviewActivity52wAlternativesDocs
Stars16.2k
Forks5.3k
HF Downloads30d
Last commit5d ago
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Production readinessMVP-readySuitable for non-critical production use.
Risk notesMITVerify license before production use.
AgentHub Score
84 / 100
Composite score from 6 signals. How we score →
Active project
84Score
Growth
98A+
Activity
90A
Documentation
70C+
Maturity
94A+
Community
95A+
Production
58C
GitHub stars · 90 days16.2k +16.8%
30d90d1y
latest release
Commit activity · 52 weeksActive contributor activity
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Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
LanguageJupyter Notebook
LicenseMIT
Sourcegithub
Open source✗ No
Commercial use
Docs
Demo
Paper

AgentHub Score

84
Score 84/100
Top performer

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