Mcp_server_client_assessment
Overview
Mcp_server_client_assessment is a project that implements an MCP-based Client-Server System where a client sends a query, the server processes it using Ollama LLM, generates a system command, executes it, and returns the output.
To use this project, clone the repository, install the required dependencies, start the server, and then run the client to send queries.
- Utilizes FastAPI for building the server. - Processes queries using Ollama LLM. - Executes system commands and returns outputs.
- Sending queries to a server for processing.
- Executing system commands based on client requests.
- Integrating with other applications that require command execution.
Add to your AI client
Use these steps to connect Mcp_server_client_assessment in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.
Cursor
Add this to your .cursor/mcp.json file in your project root, then restart Cursor.
.cursor/mcp.json
{
"mcpServers": {
"mcp-server-client-assessment-hamzabarak": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-mcp-server-client-assessment-hamzabarak"
]
}
}
}Claude Desktop
Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.
~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
{
"mcpServers": {
"mcp-server-client-assessment-hamzabarak": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-mcp-server-client-assessment-hamzabarak"
]
}
}
}Claude Code
Add this to your project's .mcp.json file. Claude Code will detect it automatically.
.mcp.json (project root)
{
"mcpServers": {
"mcp-server-client-assessment-hamzabarak": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-mcp-server-client-assessment-hamzabarak"
]
}
}
}VS Code (Copilot)
Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.
.vscode/mcp.json
{
"servers": {
"mcp-server-client-assessment-hamzabarak": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-mcp-server-client-assessment-hamzabarak"
]
}
}
}Windsurf
Add this to your Windsurf MCP config file, then restart Windsurf.
~/.codeium/windsurf/mcp_config.json
{
"mcpServers": {
"mcp-server-client-assessment-hamzabarak": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-mcp-server-client-assessment-hamzabarak"
]
}
}
}Cline
Open Cline settings, navigate to MCP Servers, and add this server configuration.
Cline MCP Settings (via UI)
{
"mcpServers": {
"mcp-server-client-assessment-hamzabarak": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-mcp-server-client-assessment-hamzabarak"
]
}
}
}FAQ
What are the prerequisites for running this project?
You need Python 3.8+, Pip package manager, Ollama installed and running, and MCP Python SDK installed.
How do I start the server?
After cloning the repository and installing dependencies, you can start the server by running `python server.py`.
Can I run the client without the server?
No, the client needs to connect to the server to send queries and receive responses.