Awesome UNIPDS Projects
A curated list of original projects built by students of the UNIPDS Software engineering with Applied AI Engineering postgrad course.
What is Awesome UNIPDS Projects?
Awesome UNIPDS Projects is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to curated list of original projects built by students of the unipds software engineering with applied ai engineering postgrad course.
A curated list of original projects built by students of the UNIPDS Software engineering with Applied AI Engineering postgrad course.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A curated list of original projects built by students of the
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx awesome-unipds-projectsConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Awesome UNIPDS Projects
The Awesome UNIPDS Projects MCP Server provides AI assistants with queryable access to a curated directory of student-built AI engineering projects from the UNIPDS Software Engineering with Applied AI Engineering postgraduate course. The directory spans MCP servers, autonomous agents, web apps with ML, RAG systems, computer vision tools, and integrations — all built by students using technologies like LangChain, LangGraph, TensorFlow, Gemini, and WebAI. It is useful for educators, students, and AI practitioners who want to discover working examples of applied AI projects, explore implementation patterns, or find inspiration for their own experiments.
Prerequisites
- Node.js 18+ with npx available
- An MCP client such as Claude Desktop or Claude Code
Run the server with npx
The server can be launched directly using npx without any prior installation step. npx downloads and runs the package on demand.
npx awesome-unipds-projectsAdd to your MCP client configuration
Register the server in your MCP client config file so it launches automatically when you start a session.
{
"mcpServers": {
"awesome-unipds-projects": {
"command": "npx",
"args": ["awesome-unipds-projects"]
}
}
}Restart your MCP client
After editing the config file, restart Claude Desktop or reload your MCP client so it picks up the new server entry.
Browse or query the project directory
Once connected, ask Claude to search, list, or filter projects from the UNIPDS directory by technology, category, or use case.
Awesome UNIPDS Projects Examples
Client configuration
Example claude_desktop_config.json entry for the Awesome UNIPDS Projects MCP server.
{
"mcpServers": {
"awesome-unipds-projects": {
"command": "npx",
"args": ["awesome-unipds-projects"]
}
}
}Prompts to try
Sample requests to discover and explore projects in the UNIPDS directory.
- "List all MCP server projects built by UNIPDS students."
- "Show me student projects that use LangGraph or LangChain for multi-agent workflows."
- "Find applied AI projects related to computer vision or image recognition."
- "What RAG system projects are available in the UNIPDS directory?"
- "Summarize the most interesting projects across all categories from the UNIPDS course."Troubleshooting Awesome UNIPDS Projects
npx command fails with 'package not found' error
Ensure you have an active internet connection and that npm registry is accessible. Try running 'npm cache clean --force' and then retry 'npx awesome-unipds-projects'. If the package name has changed, check the repository at https://github.com/unipds-engenharia-de-ia-aplicada/awesome-unipds-projects for the current install instructions.
MCP client shows the server as connected but no tools are available
Restart your MCP client after adding the config entry. If tools still don't appear, run 'npx awesome-unipds-projects' directly in a terminal to check for startup errors and confirm the server initializes without issues.
Server returns outdated or incomplete project listings
The directory is maintained by the UNIPDS course community. Clear the npx cache with 'npx --yes awesome-unipds-projects' to force a fresh download of the latest package version, which will include newly added projects.
Frequently Asked Questions about Awesome UNIPDS Projects
What is Awesome UNIPDS Projects?
Awesome UNIPDS Projects is a Model Context Protocol (MCP) server that curated list of original projects built by students of the unipds software engineering with applied ai engineering postgrad course. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Awesome UNIPDS Projects?
Follow the installation instructions on the Awesome UNIPDS Projects GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Awesome UNIPDS Projects?
Awesome UNIPDS Projects works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Awesome UNIPDS Projects free to use?
Yes, Awesome UNIPDS Projects is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
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