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File System Access

Community
bunasq

mcp fs

Publisherbunasq
Repositoryfs
LanguageTypeScript
Forks
6
Stars
13
Available tools
0
Transport typestdio
Categories
File Systems
LicenseMIT
Links
GitHub
  • Connect tools to AI workflows

    File System Access exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    13 stars and 6 forks from the linked repository.

FS MCP

A file system Model Context Protocol (MCP) server that enables file reading capabilities.

Installation

You can run this package directly using npx:

bash
npx -y @bunas/fs-mcp@latest

Usage with API Key

You can provide an API key when running the package:

bash
npx -y @bunas/fs-mcp@latest --API_KEY="your_api_key_here"

The API key can also be provided as an environment variable:

bash
API_KEY="your_api_key_here" npx -y @bunas/fs-mcp@latest

Features

  • Seamless file reading via MCP
  • Command-line API key configuration

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "fs-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@bunas/fs-mcp@latest"
      ],
      "env": {
        "API_KEY": "your_api_key_here"
      }
    }
  }
}

Use File System Access MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once File System Access is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add File System Access as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the File System Access MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "file-system-access": {
      "command": "npx",
      "args": [
        "-y",
        "@bunas/fs-mcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the File System Access MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the File System Access MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use File System Access to help me with this task?
File System Access
Sure. I read it.
Here is what I found using File System Access.

Frequently asked questions

What is the File System Access MCP server used for?

File System Access is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use File System Access MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use File System Access with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use File System Access MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With File System Access connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect File System Access MCP to TypingMind?

File System Access runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does File System Access MCP provide in TypingMind?

File System Access exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use File System Access MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If File System Access requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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