mcp-hands-on-with-agentic-ai vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
mcp-hands-on-with-agentic-ai by manulthanura | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 1 | ★ 85,748 |
| 30d uses | — | — |
| Score | 31 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper Toolseducation | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 8 mo ago | this month |
mcp-hands-on-with-agentic-ai · Summary
Educational repository with MCP server examples and templates for building agentic AI capabilities.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
mcp-hands-on-with-agentic-ai · Use cases
- Learning MCP implementation through practical examples
- Building custom MCP servers for specific AI agent capabilities
- Creating tools for text analysis and documentation generation
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
mcp-hands-on-with-agentic-ai · Install
Installation
Each example folder contains its own README.md file with specific installation instructions. Generally, the process involves:
- Clone the repository to your computer
- Navigate to the specific example folder (e.g.,
mcp-server-examples/text-assist) - Follow the package installation instructions (npm install for TypeScript, pip install for Python)
- Run the server in development mode using the MCP Inspector
- Configure Claude Desktop or Cursor to use the MCP server
For Claude Desktop, you would typically need to add the server configuration to your claude_desktop_config.json file:
filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.