FastAPI-BitNet vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
FastAPI-BitNet by grctest | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 38 | ★ 85,748 |
| 30d uses | — | — |
| Score | 42 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 11 mo ago | this month |
FastAPI-BitNet · Summary
FastAPI-based MCP server for Microsoft's BitNet model with session management, chat, and benchmarking capabilities.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
FastAPI-BitNet · Use cases
- Programmatic testing and benchmarking of BitNet models
- Chat with multiple BitNet instances via API
- Integrate BitNet capabilities into VS Code Copilot as a tool
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
FastAPI-BitNet · Install
Installation
- Prerequisites: Docker Desktop, Conda, Python 3.10+
- Set up Python environment:
``bash conda create -n bitnet python=3.11 conda activate bitnet ``
- Install Huggingface CLI:
``bash pip install -U "huggingface_hub[cli]" ``
- Download BitNet model:
``bash huggingface-cli download microsoft/BitNet-b1.58-2B-4T-gguf --local-dir app/models/BitNet-b1.58-2B-4T ``
- Run with Docker (recommended):
``bash docker build -t fastapi_bitnet . docker run -d --name ai_container -p 8080:8080 fastapi_bitnet ``
Claude Desktop Configuration
Add to claude_desktop_config.json:
{
"mcpServers": {
"fastapi-bitnet": {
"command": "http",
"args": ["http://localhost:8080/mcp"]
}
}
}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.