gen-ai-starter vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
gen-ai-starter by jbsoftware-io | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 3 | ★ 85,748 |
| 30d uses | — | — |
| Score | 36 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsOther | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
gen-ai-starter · Summary
Generative AI starter with MCP integration for converting REST APIs to standardized tools.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
gen-ai-starter · Use cases
- Building custom agentic LLM applications with RAG capabilities
- Converting existing REST API services into MCP tools for AI agents
- Developing and testing LLM applications with Streamlit web interface
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
gen-ai-starter · Install
Installation
- Prerequisites:
- Docker Engine (>= 12 GB memory or >= 8 GB with Ollama executable) - Optional: Brave Search API key for web search example
- Quick start with CPU:
``bash docker compose --profile=cpu up -d ``
- Access the applications:
- Streamlit App: http://localhost:8501/ - Open WebUI: http://localhost:3000/
- For MCP server generation:
``bash npm install -g openapi-mcp-generator openapi-mcp-generator --input path/to/openapi.json --output my-mcp-server --transport streamable-http ``
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.