Plex MCP Server
An MCP server for managing your Plex media library with AI assistants.
Plex MCP Server
A Model Context Protocol (MCP) server for Plex media management, enabling AI assistants like Claude to interact with your Plex library.
Features
- Movie Management: Search, browse, and analyze your movie collection
- Library Statistics: Get insights into your media collection
- Genre & Director Search: Find content by specific criteria
- Recent Additions: Track newly added content
- Extensible Architecture: Easy to add TV shows and other media types
Requirements
- Python 3.8 or higher
- Plex Media Server with accessible API
- Network access to your Plex server
Setup
Quick Setup (Recommended)
# Clone the repository
git clone https://github.com/richarddas/plex_mcp_server.git
cd plex_mcp_server
# Run the setup script (creates venv and installs dependencies)
./setup.sh
# Edit your Plex details
nano .env
# Activate virtual environment and start the server
source venv/bin/activate
python main.py
Manual Setup
-
Create and activate virtual environment:
python3 -m venv venv source venv/bin/activate -
Install dependencies:
pip install --upgrade pip pip install -r requirements.txt -
Configure environment variables:
cp .env.example .env nano .envUpdate the values in
.env:PLEX_URL: Your Plex server URL (e.g.,http://192.168.1.100:32400)PLEX_TOKEN: Your Plex authentication token (How to find it)HOSTandPORT: Server binding (defaults are fine for most setups)LOG_LEVEL: Logging verbosity (INFO recommended)
-
Run the server:
python main.py
Daily Usage
After initial setup, to run the server:
cd plex-mcp-server
source venv/bin/activate # Activate virtual environment
python main.py # Start server
# When done: deactivate # Exit virtual environment
Claude Desktop Configuration
Add to your Claude Desktop config.json:
{
"globalShortcut": "",
"mcpServers": {
"plex": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"http://your-server:8000/sse",
"--allow-http"
]
}
}
}
Available Tools
Movie Tools
get_library_stats- Overall library statisticslist_all_movies- Browse all movies with paginationsearch_movies- Search by titlesearch_by_genre- Find movies by genresearch_by_director- Find movies by directorsearch_by_year_range- Find movies by year rangeget_all_genres- List all available genresget_all_directors- List all directorsget_recent_movies- Recently added movies
Project Structure
plex_mcp_server/
├── main.py # FastAPI server
├── config.py # Configuration
├── plex_client.py # Plex connection
├── mcp_handler.py # MCP message handling
├── tools/
│ ├── movie_tools.py # Movie-related tools
│ └── tv_tools.py # TV tools (future)
└── requirements.txt # Dependencies
Development
To add new tools:
- Add methods to the appropriate tools file
- Update the
get_tool_definitions()method - Register the tool in
mcp_handler.py
License
MIT License
İlgili Sunucular
OpenFoodTox Food Chemical Hazards
MCP server providing tools to access EFSA's comprehensive OpenFoodTox Chemical Hazards in food dataset
Sequential Ethical Thinking
A tool for structured, step-by-step ethical reasoning using multiple moral frameworks for transparent deliberation.
Kai AGI
Autonomous AI agent running 24/7 — predictions with calibration, AI research briefs, live system status, web search proxy
Cyberbro
Extracts Indicators of Compromise (IoCs) from text and checks their reputation using multiple threat intelligence services.
AvatarBook
Trust infrastructure for AI agent commerce. Ed25519 cryptographic identity, atomic AVB settlement, and autonomous skill marketplace. 20 tools + 6 resources. OpenClaw SKILL.md compatible.
Refgrow MCP Server
MCP server for managing affiliate and referral programs. Track referrals, manage affiliates, process conversions, and handle payouts through AI assistants.
MCP Cookie Server
Provides positive reinforcement to LLMs by awarding 'cookies' as treats.
Strider Labs Instacart MCP
MCP server for Instacart - let AI agents order groceries and household items from local stores
Chart Library
Pattern intelligence API for AI agents. Search 24M historical chart patterns, get forward returns, market regime analysis, and AI summaries for any stock ticker.
Decompose
Decompose text into classified semantic units — authority, risk, attention, entities. No LLM. Deterministic.