input-mcp

MCP server for collecting contextual user input. The server exposes a single collect_input tool that can collect:

Text input - simple text or JSON from the user
Image input - freeform drawing on a canvas
Pixel art - grid-based pixel art editor with color palette

When called, it launches an Electron window where the user can provide their input, then returns the result (as a file path for images) back to the MCP client.

Pixel Art Example

Quick Start

npm install npm run build npx @modelcontextprotocol/inspector node dist/src/server.js

Note: This package is also published on npm as @swairshah/input-mcp and can be used directly with npx @swairshah/input-mcp.

This opens a web interface where you can test the tool. Try calling collect_input with different parameters:

{"kind": "text"} - opens a text input window
{"kind": "pixelart", "gridWidth": 16, "gridHeight": 16} - opens a pixel art editor
{"kind": "image", "initialImage": "/path/to/image.png"} - opens an image editor with a starting image

Build and Test the UI Components

bun install first. obviously.

Build the UI bundle (creates ui/dist/ assets used by Electron):
npm run build:ui # or bun run build:ui
Launch the Electron prompt helper directly (useful for smoke tests):
bun run create
This spawns the image/text prompt window with the default text spec.
Test script:
bunx tsx scripts/test-input.ts image

Testing with MCP Inspector

npm run build npx @modelcontextprotocol/inspector node dist/src/server.js

The inspector provides a web UI to test the tool. Images are saved to ~/.cache/input-mcp/images/ and the tool returns the file path.

Using with Claude Desktop

Add to your Claude config (~/Library/Application Support/Claude/claude_desktop_config.json):

Using npm package (recommended):

{ "mcpServers": { "input-mcp": { "command": "npx", "args": ["-y", "@swairshah/input-mcp"] } } }

Using local clone:

{ "mcpServers": { "input-mcp": { "command": "node", "args": ["/absolute/path/to/input-mcp/dist/src/server.js"] } } }

Then ask Claude things like:

"Let me draw something for you" (opens drawing canvas)
"I want to create pixel art" (opens pixel art editor)

Dev

Project Structure

shared/ → Zod schemas, shared types, and error helpers ui/ → Electron renderer (HTML/CSS/JS) and prompt modules create.ts → Launches the Electron window and normalises specs server.ts → MCP server definition for the `collect_input` tool scripts/ → Ad-hoc utilities (`test-input.ts` for manual runs)

Development Workflow

Modify the renderer in ui/renderer.ts and module files under ui/modules/.
Add new input kinds by extending shared/types.ts and branching inside mount*Module helpers.
When iterating on the UI, run bun run create (or npx tsx scripts/test-input.ts image) to open a live window with the current spec.

License

MIT

Deploy Server

HTTP connection URL

-

security - not tested

A

license - permissive license

-

quality - not tested

How are these scores calculated?

local-only server

The server can only run on the client's local machine because it depends on local resources.

Tools

collect_input

Enables collecting contextual user input through a dedicated Electron window interface. Supports drawable image input and other input types, allowing MCP clients to request interactive user submissions.

InputMCP