It is recommended to use Conda to create an isolated environment:
Mini MCP becomes available to MCP clients through the mini mcp mcp server. It is recommended to use Conda to create an isolated environment:.
It is recommended to use Conda to create an isolated environment:
Once connected, the assistant can call these 3 tools directly:
Purpose — Lists all files and folders on the current user's desktopPlatform — macOS onlyReturns — A list of strings, each representing a file or folder nameThe server is distributed via PyPI as fastmcp, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
File and storage servers are what separate an assistant that talks about your documents from one that actually works with them. Mini MCP sits in that group, and the shape of its toolset — Purpose, Platform, Returns — tells you what it is really for. Worth comparing against the other file systems servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Purpose | Lists all files and folders on the current user's desktop. |
| Platform | macOS only |
| Returns | A list of strings, each representing a file or folder name. |
{
"mcpServers": {
"mini": {
"command": "uvx",
"args": ["fastmcp"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Scoped local file access — read, write, search and reorganise files in directories you explicitly allow.
Search and read your Drive — Docs, Sheets and files become context your assistant can actually use.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Chat with your second brain — search, read and write vault notes through the Local REST API.
Connects AI models to an Obsidian knowledge base for direct access and manipulation of notes and folders.