GalSened/mcp-filesystem-server
3.2
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The MCP Filesystem Server is a secure and flexible server designed for filesystem operations and optional command execution using the Model Context Protocol.
Tools
7
Resources
0
Prompts
0
MCP Filesystem Server
Safe-by-default Model Context Protocol server for filesystem operations (+ optional command execution).
Features
- Tools:
list_dir,read_text,write_text,mkdir,mv,rm,stat - Optional tool:
run(disabled by default, allowlist-based, timeout + output cap) - Transports: STDIO (default), HTTP (
/mcp), **SSE` - Sandbox root with deny/allow globs to protect secrets
Quickstart (local)
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
mkdir -p sandbox
python server.py # stdio mode
HTTP (for ngrok/cloud)
export MCP_TRANSPORT=http
export MCP_HTTP_PORT=8080
export MCP_HTTP_PATH=/mcp
python server.py
# expose:
ngrok http 8080 # URL -> https://<subdomain>.ngrok.app/mcp
Enable run tool (optional, risky)
export ENABLE_RUN_COMMANDS=1
# edit COMMAND_ALLOWLIST in server.py to expand allowed commands safely
Docker
docker build -t mcp-filesystem .
docker run -p 8080:8080 -e MCP_TRANSPORT=http mcp-filesystem
Connect from ChatGPT (Custom MCP Connector)
Settings → Connectors → Create → Custom
URL: https://YOUR_HOST/mcp (or ngrok URL)
Done. Now you can call the tools from ChatGPT.
Why not GitHub Pages?
GitHub Pages is static hosting only; MCP is an active server (HTTP/SSE/STDIO).
Use Render/Railway/Fly.io/Cloud Run/Cloudflare Workers (or your own machine + ngrok).
Minimal Tool Calls (examples)
list_dir({ "path": ".", "glob_pattern": "*.md" })
read_text({ "path": "README.md" })
write_text({ "path": "demo/hello.txt", "content": "hi" })
mv({ "src": "demo/hello.txt", "dst": "demo/hello2.txt", "overwrite": true })
rm({ "path": "demo", "recursive": true })