pulsemcp scanned Safe content atomic mcp-remote

Learning Hour Generator

Learning Hour MCP server by Steven Diamante that generates structured 60-minute technical practice sessions for software development teams using the 4C Learning Model (Connect, Concept, Concrete, Conclusion). The implementation integrates with Anthropic's Claude API for AI-powered content generation, GitHub repositories for analyzing real codebases to find team-specific code smell examples, and Miro boards for creating visual workshop layouts with frames, sticky notes, and code blocks. Built with TypeScript and designed for Technical Coaches, it transforms generic programming education into contextual learning experiences by analyzing actual team codebases for Feature Envy, Long Methods, and other refactoring opportunities, then generating Learning Hour content that uses the team's real code examples, technology stack, and coding patterns for immediate applicability in daily development work.

Cognium trust score

64%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: version-control
Source: PulseMCP
Repository: github.com/sdiamante13/learning-hour-mcp
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

View source Find related skills

MCP

Resolve Learning Hour Generator from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"