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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

git clone --recurse-submodules https://github.com/lintyourcode/perception-mcp.git cd perception-mcp cp mcp_agent.secrets_template.yaml mcp_agent.secrets.yaml $EDITOR mcp_agent.secrets.yaml

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"] } } }

Tools

Perception-MCP provides the following tools:

  • query_image: Answer a question about an image's contents
  • query_audio: Answer a question about an audio file's contents
  • query_video: Answer a question about a video's contents

Development

Running tests

uv run pytest -q

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. Tools
          1. Development
            1. Running tests

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