Built MCP for multiple questions within one request (augument code tool)
{
"mcpServers": {
"mcp-gui-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Built MCP for multiple questions within one request (augument code tool)
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
MIT. View license →
Is it maintained?
Last commit 300 days ago. 6 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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Persistent memory using a knowledge graph
Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.
Pre-build reality check. Scans GitHub, HN, npm, PyPI, Product Hunt — returns 0-100 signal.
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A modern Model Context Protocol (MCP) server that provides elegant graphical user interface interaction capabilities with Interactive Feedback style, terminal support, and advanced prompt engineering features.
MCP for cost cut of request based ai services
Test the server instantly without installation:
npx mcp-gui-server
For development or customization:
# Clone the repository
git clone https://github.com/oqwn/mcp-gui-server.git
cd mcp-gui-server
# Install dependencies
pnpm install
# Build the project
pnpm run build
# Start the server
pnpm start
Install pnpm if you haven't already:
npm install -g pnpm
Add the following configuration to your MCP client (Claude Desktop, Cursor, Windsurf, etc.), Remember add the model only if you would like a ai model to enhance prompt:
{
"mcpServers": {
"mcp-gui-server": {
"command": "npx",
"args": ["-y", "mcp-gui-server"],
"env": {
"OPENROUTER_API_KEY": "YOUR API KEY",
"OPENROUTER_BASE_URL": "https://openrouter.ai/api/v1",
"OPENROUTER_MODEL": "MODEL YOUR SELECTED"
}
}
}
}
before using below mcp configuration you should get this repositiry and run
pnpm run build
{
"mcpServers": {
"gui-server": {
"command": "node",
"args": ["/path/to/dist/server.js", "--stdio"],
"env": {
"OPENROUTER_API_KEY": "YOUR API KEY",
"OPENROUTER_BASE_URL": "https://openrouter.ai/api/v1",
"OPENROUTER_MODEL": "MODEL YOU SELECTED"
}
}
}
}
After configuration, restart your MCP client to load the server.
In your AI assistant, the gui-input tool should now be available. Test it by asking:
"Please collect some user input via the GUI"
For local development and testing:
pnpm run dev
Server will start on http://localhost:3501 with hot reload.
Interactive terminal with persistent shell sessions and command execution
AI-powered prompt enhancement with multiple LLM providers