kopias

kopias / loreto-mcp

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MCP server for the Loreto skill generation API

13
3
100% credibility
Found Apr 07, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This repository provides a connector allowing AI coding assistants like Claude Code to generate reusable structured skill packages from YouTube videos, articles, PDFs, or images via the Loreto service.

How It Works

1
🔍 Discover Loreto

You stumble upon Loreto while searching for ways to teach your AI coding helper new tricks from videos, articles, or documents without repeating yourself every time.

2
📱 Sign Up Free

Head to the Loreto website, create a free account, and grab your starter pass to unlock the magic.

3
🔗 Link to Your Helper

Add a quick note in your AI coding assistant's settings to connect it to Loreto, so they can team up.

4
🔄 Test the Connection

Restart your assistant and ask it to check your Loreto access – you'll see it's ready to go.

5
✨ Pull Skills from Content

Simply say to your assistant, 'Extract skills from this YouTube video or article,' and it creates ready-to-use guides, examples, tests, and overviews.

6
💾 Skills Saved Automatically

Your assistant drops the new skill packages into your project's special folder, all organized and usable.

🎉 AI Gets Smarter Instantly

From now on, your coding helper automatically remembers and applies these skills to similar jobs, saving time and boosting accuracy.

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AI-Generated Review

What is loreto-mcp?

loreto-mcp is a Python MCP server that connects the Loreto API to Claude Code, letting you generate reusable skills from YouTube videos, articles, PDFs, or images right in your editor. Paste a URL, and it outputs structured packages with principles, READMEs, reference files, test scripts, and Mermaid diagrams—ready to drop into `.claude/skills/` for automatic use on matching tasks. It cuts hallucinations and token waste by turning one-off content into persistent AI knowledge via simple MCP tools like `generate_skills` and `get_quota`.

Why is it gaining traction?

It plugs Loreto's skill generation API directly into MCP-compatible setups like mcp github copilot vscode or mcp github copilot intellij, with pip install and mcp.json config that works across projects. The hook is real mcp server examples: nine sample skills on AI harness routing, RAG failures, and temporal reasoning show tangible output quality. Free API tier plus Python/TS test support beats manual extraction for mcp server claude users.

Who should use this?

Claude Code users building AI agents who need to distill talks or docs into skills for mcp github issues triage or mcp github project manager workflows. Teams on mcp github python or mcp github typescript projects evaluating harnesses, diagnosing RAG, or routing tasks across tools. Suited for mcp server ai devs in VSCode integrating with n8n or Home Assistant, not raw API callers.

Verdict

Try it for Claude Code MCP experiments—setup takes minutes, samples prove value despite alpha status. With 13 stars and 1.0% credibility, expect rough edges; solid docs and MIT license make it low-risk for mcp server python prototyping.

(198 words)

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