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MCPFileSystem Client MCP Server

@Digio-Campus

Basic information

Category

Other

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stdio

Author

Digio-Campus

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.

Repository

MCPFileSystem 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?

  1. Start a local LLM that supports the OpenAI SDK (e.g., Jan).
  2. Edit the .env file to set the model name, system prompt, and server base URL (defaults are provided).
  3. 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 StdioClientTransport with 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

1

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.

2

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.

3

How do I change the LLM endpoint?

Modify the `BASE_URL` environment variable in `.env`. A default value is already provided.

4

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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