Which directories can the LLM access?
Only the directories listed in the `args` array inside `app.js` (by default a folder named `files`). You can add or change paths there.
@Digio-Campus
Basic information
Client using a File System MCP Server
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.
MCPFileSystem_Client is a client application that connects a local LLM (compatible with the OpenAI SDK) to the MCP filesystem server, allowing the model to read and write files in specified directories. It is intended for developers who want to give an LLM controlled access to the local file system.
.env file to set the model name, system prompt, and server base URL (defaults are provided).node app.js.app.js.StdioClientTransport with the official MCP filesystem server.Only the directories listed in the `args` array inside `app.js` (by default a folder named `files`). You can add or change paths there.
It works with any model that is compatible with the OpenAI SDK and supports tool/function calling. The default model in `.env` example may not work; you must use a model with tool‑calling capability.
Modify the `BASE_URL` environment variable in `.env`. A default value is already provided.
No, it launches the MCP filesystem server locally via `npx` and communicates over stdio. The host machine’s file system is used.
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