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.
MCPFileSystem Client MCP Server
@Digio-Campus
Basic information
About MCPFileSystem Client MCP Server
Client using a File System MCP Server
MCPFileSystem Client MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryMCPFileSystem Client MCP Server tools
Tool 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.
Overview
What is MCPFileSystem_Client?
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.
How to use MCPFileSystem_Client?
- Start a local LLM that supports the OpenAI SDK (e.g., Jan).
- Edit the
.envfile to set the model name, system prompt, and server base URL (defaults are provided). - Run
node app.js.
Key features of MCPFileSystem_Client
- Connects an OpenAI‑compatible LLM to the filesystem via MCP.
- Restricts file access to directories specified in
app.js. - Uses
StdioClientTransportwith the official MCP filesystem server. - Configured via environment variables (model, prompt, base URL).
- Requires a model that supports tool/function calling.
Use cases of MCPFileSystem_Client
- Let an LLM read files from a local project directory.
- Allow an LLM to write output files (e.g., generated code or reports).
- Provide controlled file access to an LLM running on a local server.
Frequently asked questions
What models does MCPFileSystem_Client work with?
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.
How do I change the LLM endpoint?
Modify the `BASE_URL` environment variable in `.env`. A default value is already provided.
Does MCPFileSystem_Client run on a remote machine?
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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