MarketNow Registry / AI/ML / model-context-protocol-mcp-hands-on-with-agentic-ai-2034200

model-context-protocol-mcp-hands-on-with-agentic-ai-2034200

This is a code repository for the LinkedIn Learning course Model Context Protocol (MCP): Hands-On with Agentic AI [ASI] [TEXT] [MODELS]

AI/ML v0.0.0 by LinkedInLearning

Trust score

88/100

Install risk

Review advised

GitHub stars

115

Source

github

Indexed

2026-09-10

Install

$ git clone https://github.com/LinkedInLearning/model-context-protocol-mcp-hands-on-with-agentic-ai-2034200

Heuristic signals advise review before installing: young package, low adoption, stale repository, or name similarity to a popular package.

Adoption evidence: 115 GitHub stars.

How MarketNow scored this

Sentinel Index Heuristics — a security-first estimate from public signals:

Package age and release activity (stale repositories lose points)
Verified adoption: registry downloads or GitHub stars, not follower counts
Typosquat distance against the 150 most-installed MCP packages
Injection markers scanned in the package description

Heuristic, not a guarantee. For verified agent credentials and revocation, see the MarketNow Trust API.

What is model-context-protocol-mcp-hands-on-with-agentic-ai-2034200?

This is a code repository for the LinkedIn Learning course Model Context Protocol (MCP): Hands-On with Agentic AI [ASI] [TEXT] [MODELS] Indexed by MarketNow with trust 88/100 (Review advised).

How do I install it?

Run $ git clone https://github.com/LinkedInLearning/model-context-protocol-mcp-hands-on-with-agentic-ai-2034200 Heuristic signals advise review before installing: young package, low adoption, stale repository, or name similarity to a popular package.

What does the trust score mean?

Security-first heuristic over public signals (age, adoption, typosquat distance, injection markers). It is not a popularity ranking and not a guarantee of safety. model-context-protocol-mcp-hands-on-with-agentic-ai-2034200 scores 88/100.