Development · MODEL CONTEXT PROTOCOL
mrexodia user feedback mcp
Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor.
WHAT IT CONNECTS
What mrexodia user feedback mcp gives an AI Agent
The source catalog does not include a structured feature list. Review the repository documentation before use.
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.
README
Repository documentation
Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test.
For the best results, add the following to your custom prompt:
Before completing the task, use the user_feedback MCP tool to ask the user for feedback.
This will ensure Cline uses this MCP server to request user feedback before marking the task as completed.
Hitting Save Configuration creates a .user-feedback.json file in your project directory that looks like this:
{
"command": "npm run dev",
"execute_automatically": false
}This configuration will be loaded on startup and if execute_automatically is enabled your command will be instantly executed (you will not have to click Run manually). For multi-step commands you should use something like Task.
To install the MCP server in Cline, follow these steps (see screenshot):
- Install uv globally:
- Windows:
pip install uv - Linux/Mac:
curl -LsSf https://astral.sh/uv/install.sh | sh
- Windows:
- Clone this repository, for this example
C:\MCP\user-feedback-mcp. - Navigate to the Cline MCP Servers configuration (see screenshot).
- Click on the Installed tab.
- Click on Configure MCP Servers, which will open
cline_mcp_settings.json. - Add the
user-feedback-mcpserver:
{
"mcpServers": {
"github.com/mrexodia/user-feedback-mcp": {
"command": "uv",
"args": [
"--directory",
"c:\\MCP\\user-feedback-mcp",
"run",
"server.py"
],
"timeout": 600,
"autoApprove": [
"user_feedback"
]
}
}
}
uv run fastmcp dev server.pyThis will open a web interface at http://localhost:5173 and allow you to interact with the MCP tools for testing.
<use_mcp_tool>
<server_name>github.com/mrexodia/user-feedback-mcp</server_name>
<tool_name>user_feedback</tool_name>
<arguments>
{
"project_directory": "C:/MCP/user-feedback-mcp",
"summary": "I've implemented the changes you requested."
}
</arguments>
</use_mcp_tool>
COMMUNITY

