How do I build juicefs-mcp-server?
Run `make build` in the project root.
@zwwhdls
Basic information
No overview available yet
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
juicefs-mcp-server is an MCP (Model Context Protocol) server for interacting with JuiceFS. It provides a chat-based interface to manage JuiceFS storage, as shown in the README’s screenshots. The server is built and run locally using Go commands.
Build the server with make build, then run it with bin/juicefs-mcp-server --deug (note: the flag --deug appears as a typo in the README, likely intended as --debug). The server can be used alongside a CSI MCP integration, and chat examples are shown in the documentation.
—
Run `make build` in the project root.
Execute `bin/juicefs-mcp-server --deug` from the project root.
The README shows the flag `--deug` (likely a typo for `--debug`), which enables debug output.
Support is listed as “todo” in the README, meaning it is not yet documented or implemented.
The README includes screenshots showing “Chat with JuiceFS MCP Server” and “Chat with JuiceFS CSI MCP Server”.

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

Mail a real postal letter worldwide from a PDF or text. No account, pay per letter.

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

Run advanced phishing, voice phishing, deepfake fraud simulations, and cybersecurity awareness training from your AI assistant.
Comments