Perception-MCP
Enables asking questions about image, audio, or video files using state-of-the-art multimodal models. Powered by fal.ai for advanced media analysis and understanding capabilities.
README
Perception-MCP
A lightweight Model Context Protocol (MCP) server that lets you ask any question about an image, audio, or video file and returns an answer powered by state-of-the-art multimodal models served through fal.ai.
Prerequisites
Installation
# Clone and install dependencies
$ git clone https://github.com/lintyourcode/perception-mcp.git
$ cd perception-mcp
$ poetry install --no-root
Usage
Add Perception-MCP to Claude Desktop (v0.3.7+) by adding the following to your claude_desktop_config.json file:
{
"mcpServers": {
"perception-mcp": {
"command": "fastmcp",
"args": ["run", "perception-mcp", "serve"],
"env": {
"FAL_KEY": "<your-fal-key>"
}
}
}
}
Development
Running the test suite
The project uses pytest with pytest-asyncio to handle FastMCP’s async helpers.
# Install runtime + dev dependencies
$ poetry install --with dev --no-root
# Run the tests
$ poetry run pytest -q
All tests should pass, verifying that the server registers its tools and that the current stubs raise NotImplementedError until implemented.
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