Local MCP servers (Stdio)
MCP servers enable powerful local integrations that work only in the desktop application. The web version cannot use stdio-based MCP servers due to browser security limitations.
Desktop vs. Web comparison
| Feature | Desktop App | Web App |
|---|---|---|
| Stdio MCP | ✅ Full support | ❌ Not available |
| SSE MCP | ✅ Supported | ✅ Supported |
| Local tools | ✅ Execute locally | ✅ Limited |
| File system | ✅ Full access | ❌ Limited |
| Command line | ✅ Direct access | ❌ Not available |
Why? Browsers cannot execute command-line programs for security reasons. The desktop app runs directly on your computer, so it can use powerful local tools via stdio MCP servers.
What is MCP?
The Model Context Protocol (MCP) is a standard for connecting AI assistants to tools and data sources. MCP servers:
- ✅ Run locally on your computer
- ✅ Communicate via standard input/output (stdio)
- ✅ Provide tools and data to the AI
- ✅ Keep everything on your computer
- ✅ Completely free and open source
How it works
You → Desktop App → MCP Server → Tool/Data
(chat) (execution)
The AI uses available MCP servers when you ask it to perform tasks that require tools.
Finding MCP servers
Official directory
Browse available MCP servers at:
- MCP Servers Directory - Official registry of MCP servers
- Smithery.ai - Community MCP server collection
- GitHub MCP Topic - Open-source MCP projects
Popular categories
- Productivity: Task automation, note-taking, file management
- Development: Git, databases, code tools
- Data: Analytics, research tools, data processing
- Education: Learning tools, tutoring systems, content creation
Recommended servers for education
For students, teachers, and educational institutions, these servers are particularly valuable:
Research & Writing
- arxiv - Access research papers
- web-search - Search the internet
- wikipedia - Look up information
- exa - Advanced search capabilities
Code & Learning
- github - Access repositories
- bash - Execute shell commands (with caution)
- python - Run Python code
- repl - Interactive programming
School Tasks
- file-system - Work with local files
- calculator - Mathematical operations
- weather - Weather information
- calendar - Schedule management
How to register an MCP server
Step 1: Find and install
- Choose a server from the directory
- Follow the installation instructions
- Note the command to start the server
Step 2: Configure in desktop app
- Open AI-School Desktop
- Go to Settings → MCP Servers
- Click Add Server
- Enter:
- Name: Server name
- Command: How to start the server
- Arguments: Any arguments needed
- Click Save
Step 3: Use in chat
Once registered, the server's tools are automatically available:
You: Use the web-search tool to find information about quantum computing
AI: [uses the tool and provides results]
Example installations
Web Search Server
# Install
npm install -g @server/web-search
# Start
web-search
GitHub Server
# Install
brew install github-mcp # or your package manager
# Start with token
GITHUB_TOKEN=your_token github-mcp
Python REPL Server
# Install
pip install mcp-python
# Start
mcp-python
Building your own MCP server
You can create custom MCP servers for your specific needs!
Why build one?
- Automate repetitive tasks
- Integrate custom tools
- Connect to proprietary systems
- Share with your team
Getting started
- Visit MCP Protocol Documentation
- Choose your language (Python, JavaScript, Go, etc.)
- Follow the tutorial
- Deploy to your desktop app
Simple Python example
from mcp.server import Server
from mcp.tools import Tool
server = Server("my-tool")
@server.tool
async def calculate(expression: str) -> str:
return str(eval(expression))
server.run()
Register it in the desktop app and start using it!
Safety and security
Run with confidence
- ✅ MCP servers run locally on your computer
- ✅ No data leaves your computer
- ✅ You control which servers are active
- ✅ Disable servers you don't need
Best practices
- Install from trusted sources - Use official repositories
- Review the code - Check open-source implementations
- Test first - Try in a test folder before important tasks
- Disable unused servers - Remove servers you're not using
- Keep updated - Install security updates
Troubleshooting
Server not appearing in the list?
- Verify the server is installed correctly
- Check the start command is correct
- Restart the desktop application
"Server failed to start" error?
- Check server installation
- Verify any required environment variables
- See server documentation for details
Tools not available in chat?
- Confirm server is running
- Reload the chat conversation
- Check server status in settings