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MCP File Operations Agent

@dynstat

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

dynstat

About MCP File Operations Agent

A working example of your own agents from the scratch and using it with the mcp servers from scratch

#mcp#agents#mcp-server#mcp-client

MCP File Operations Agent config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "File Operations Agent": {
      "command": "python",
      "args": [
        "file_agent_server.py"
      ]
    }
  }
}

MCP File Operations Agent 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 MCP File Operations Agent?

MCP File Operations Agent is a simple Model Context Protocol (MCP) server that exposes file system operations as tools, enabling AI agents to read file contents, write to files, and list directory contents through a client-server architecture. It is built for developers integrating file manipulation into MCP-based workflows.

How to use MCP File Operations Agent?

Install the package with pip install -e ., then create a .env file with your API keys. Run the server with python file_agent_server.py and the client with python file_agent_client.py. The server supports both Stdio and SSE transports; see the provided code examples for tool definition and client connection.

Key features of MCP File Operations Agent

  • Read file contents and return them as text.
  • Write content to specified files.
  • List directory contents.
  • Supports Stdio and SSE transport layers.
  • Includes a client that integrates with Google's Gemini API.

Use cases of MCP File Operations Agent

  • Allow a Gemini-based agent to read configuration or log files.
  • Enable an MCP client to write generated content to disk.
  • Provide an AI assistant with the ability to browse project directories.
  • Integrate file operations into Cursor IDE via the .cursor/mcp.json configuration.

Frequently asked questions

1

What dependencies are required?

Python 3.12 or higher, and the packages `mcp[cli]>=1.6.0`, `google-genai>=1.12.1`, and `python-dotenv`.

2

How do I configure API keys?

Create a `.env` file in the project root with your API keys, following the format shown in `.env-sample`.

3

What file operations are available?

The server provides three tools: `read_file` to read a file, `write_file` to write content to a file, and a tool to list directory contents (not explicitly named but implied by features).

4

How does transport work?

The server can run via Stdio (local inter-process communication) or SSE (HTTP-based, suitable for network interactions). Both are demonstrated with complete code examples in the README.

5

Can this be used with Cursor IDE?

Yes, configure the server in `.cursor/mcp.json` with the appropriate command and path to `file_agent_server.py`.

Comments

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