Sponsored by Deepsite.site

Run the MCP Client

Content

Run the MCP Client

Before running this client be sure to have the server up and running. For more info on that, see: https://github.com/dazzaji/filesystem

Step 1: Create the Virtual Environment and Install Dependencies Correctly

Use the following commands:

```bash
mkdir mcp-client-py
cd mcp-client-py
```

```bash
python -m venv venv
source venv/bin/activate
```

```bash
pip install -r requirements.txt
```

This creates a virtual environment, activates it, and then installs mcp and python-dotenv (and their dependencies) into that environment.

Step 2: Confirm or Correct the Environment Variables in .env

Create a .env file with your server path and the allowed directory. You can also specify tool and args for testing purposes.

   SERVER_PATH=/Users/dazzagreenwood/filesystem/dist/index.js
   ALLOWED_DIRECTORY=/Users/dazzagreenwood/mcp-hello/module1/files
   
  # Test with arguments:
   #TOOL=list_directory
   #ARGS='{"path": "/Users/dazzagreenwood/mcp-hello/module1/files", "recursive": true}'
   
   # Or test with other tools
   #TOOL=read_file
   #ARGS='{"path": "/Users/dazzagreenwood/mcp-hello/module1/files/test.txt"}'

Step 3: Running the Python Client

Run your client to test the server.

 python client.py
 ```
*   If you used the optional `TOOL` and `ARGS` add those arguments like so:
 ```bash
     python client.py --tool "list_directory" --args '{"path": "/Users/dazzagreenwood/mcp-hello/module1/files", "recursive": true}'
 ```
This will:

*   Connect to your filesystem server.
*   List available tools.
*  Call the `write_file` to create a test file with text content in the specified directory, if `tool` is not specified in the .env file.
*   Display the results to the console.

### Step 4: Verifying Results

After successfully running the client, check the following:

1.  **Client Output:** You should see output like `Available tools: [ ... ]`, and the result from the `write_file` (or other tool call).
2.  **File Creation:** Verify that `testfile.txt` has been created with the correct content inside `/Users/dazzagreenwood/mcp-hello/module1/files/`.  If testing with the read or list tools, make sure the output is what you'd expect.

### Testing Workflow

Here are steps to verify the project with the client and a server:

#### Starting the Server
1.  **Open a Terminal**. You will need to start the server from a terminal.
2.  **Navigate to Server Directory**. Change directory to the folder containing the server:
 ```
 cd /Users/dazzagreenwood/filesystem
 ```
3.  **Run the Server:**
 ```bash
 node dist/index.js "/Users/dazzagreenwood/mcp-hello/module1/files"
 ```
 *   Replace `/Users/dazzagreenwood/filesystem/dist/index.js` with the actual path to the compiled file.
 *   Replace `/Users/dazzagreenwood/mcp-hello/module1/files` with the allowed directory.

#### Testing with the Client

1.  **Open another Terminal window** or split your existing terminal tab.
2.  **Navigate to Client Directory** Change directories into the `mcp-client-py` folder:
  ```bash
  cd /Users/dazzagreenwood/mcp-client-server/mcp-client-py
  source .venv/bin/activate
  ```
3. **Run the Client in Default Mode:**
 To test basic connectivity and the `write_file` tool:
 ```bash
  python client.py
 ```
  This will attempt to call write file, to create a file named test.txt into the `/Users/dazzagreenwood/mcp-hello/module1/files` directory with the string `Hello from Python the new standup MCP client!` as it's content.

4.  **Run the client with specific tools and arguments**: To test list_directory, use the following:
```bash
   python client.py --server-path /Users/dazzagreenwood/filesystem/dist/index.js --allowed-dir /Users/dazzagreenwood/mcp-hello/module1/files --tool list_directory --args '{"path": "/Users/dazzagreenwood/mcp-hello/module1/files", "recursive": true}'
To test the `read_file` tool use:
 python client.py --server-path /Users/dazzagreenwood/filesystem/dist/index.js --allowed-dir /Users/dazzagreenwood/mcp-hello/module1/files --tool read_file --args '{"path": "/Users/dazzagreenwood/mcp-hello/module1/files/test.txt"}'
* Replace the paths in the examples above to correspond to your local paths.

If setup correctly you should see the output that confirms each of these actions.

By following these instructions, you can now test your MCP server and client with various tools using Python and TypeScript/Node.js!

Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Playwright McpPlaywright MCP server
Amap Maps高德地图官方 MCP Server
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
DeepChatYour AI Partner on Desktop
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Serper MCP ServerA Serper MCP Server
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
WindsurfThe new purpose-built IDE to harness magic
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
CursorThe AI Code Editor
ChatWiseThe second fastest AI chatbot™
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Tavily Mcp