
Plex MCP Server
A Python-based MCP server that integrates with Plex Media Server API to search for movies and manage playlists in your Plex media library.
README
Plex MCP Server
This is a Python-based MCP server that integrates with the Plex Media Server API to search for movies and manage playlists. It uses the PlexAPI library for seamless interaction with your Plex server.
Setup
Prerequisites
- Python 3.8 or higher
uv
package manager- A Plex Media Server with API access
Installation
-
Clone this repository:
git clone <repository-url> cd plex-mcp
-
Install dependencies with
uv
:uv venv source .venv/bin/activate uv sync
-
Configure environment variables for your Plex server:
PLEX_TOKEN
: Your Plex authentication tokenPLEX_SERVER_URL
: Your Plex server URL (e.g., http://192.168.1.100:32400)
Finding Your Plex Token
You can find your Plex token in this way:
- Sign in to Plex Web App
- Open Developer Tools
- In Console tab, paste and run:
window.localStorage.getItem('myPlexAccessToken')
Usage with Claude
Add the following configuration to your Claude app:
{
"mcpServers": {
"plex": {
"command": "uv",
"args": [
"--directory",
"FULL_PATH_TO_PROJECT/plex-mcp",
"run",
"plex-mcp.py"
],
"env": {
"PLEX_TOKEN": "YOUR_PLEX_TOKEN",
"PLEX_SERVER_URL": "YOUR_PLEX_SERVER_URL"
}
}
}
}
Available Commands
The Plex MCP server exposes these commands:
Command | Description | OpenAPI Reference |
---|---|---|
search_movies |
Search for movies in your library by title | /library/sections/{sectionKey}/search |
get_movie_details |
Get detailed information about a specific movie | /library/metadata/{ratingKey} |
get_movie_genres |
Get the genres for a specific movie | /library/sections/{sectionKey}/genre |
list_playlists |
List all playlists on your Plex server | /playlists |
get_playlist_items |
Get the items in a specific playlist | /playlists/{playlistID}/items |
create_playlist |
Create a new playlist with specified movies | /playlists |
delete_playlist |
Delete a playlist from your Plex server | /playlists/{playlistID} |
add_to_playlist |
Add a movie to an existing playlist | /playlists/{playlistID}/items |
recent_movies |
Get recently added movies from your library | /library/recentlyAdded |
Testing
The repository includes a test script to verify connectivity and functionality:
simple-direct-plex-test.py
- A direct PlexAPI test that doesn't use the MCP server
Troubleshooting
If you encounter connection issues, try these steps:
-
Verify your environment variables are set correctly:
echo $PLEX_SERVER_URL echo $PLEX_TOKEN
-
Test direct connectivity to your Plex server:
python simple-direct-plex-test.py
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.