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Perception-MCP

by lintyourcode
GitHub
Python
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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.

This server cannot be installed

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security - not tested
F
license - not found
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quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

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.

  1. Prerequisites
    1. Installation
      1. Usage
        1. Development
          1. Running the test suite

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