mcp-imdb MCP server
About
mcp-imdb is a Model Context Protocol (MCP) server for accessing IMDB data. It provides a note storage system with custom URI schemes, prompts, and tools.
Details
- Author
- clsung
- GitHub stars
- 3
- Downloads
- 246
- Categories
- Other
Jump to
- Custom note:// URI scheme for individual notes
- summarize-notes prompt with optional style argument
- add-note tool for adding new notes
- Runs as an HTTP SSE server via Docker
- Supports Docker Compose for orchestration
- Publishable to PyPI with uv publish
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
mcp-imdb MCP serverCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install it via Claude Desktop configuration using uv for unpublished servers or uvx for published servers. Alternatively, run it as an HTTP SSE server with Docker (build and run the image, or use Docker Compose). Connect VS Code GitHub Copilot by adding an SSE configuration in settings.json.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp-imdb mcp server": {
"mcp-imdb": {
"command": "uv",
"args": [
"sync"
]
}
}
}
}McpServers
{
"mcp-imdb": {
"command": "uv",
"args": [
"sync"
]
}
}mcp-imdb MCP server
A Model Context Protocol (MCP) server for accessing IMDB data.
Original author: Cheng-Lung Sung
Components
Resources
The server implements a simple note storage system with:
- Custom note:// URI scheme for accessing individual notes
- Each note resource has a name, description and text/plain mimetype
Prompts
The server provides a single prompt:
- summarize-notes: Creates summaries of all stored notes
- Optional "style" argument to control detail level (brief/detailed)
- Generates prompt combining all current notes with style preference
Tools
The server implements one tool:
- add-note: Adds a new note to the server
- Takes "name" and "content" as required string arguments
- Updates server state and notifies clients of resource changes
Configuration
[TODO: Add configuration details specific to your implementation]
Quickstart
Install
Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
<details>
<summary>Development/Unpublished Servers Configuration</summary>
"mcpServers": {
"mcp-imdb": {
"command": "uv",
"args": [
"--directory",
"<dir_to>/git/mcp-imdb",
"run",
"mcp-imdb"
]
}
}
</details>
<details>
<summary>Published Servers Configuration</summary>
"mcpServers": {
"mcp-imdb": {
"command": "uvx",
"args": [
"mcp-imdb"
]
}
}
</details>
Docker
You can run the server as an HTTP SSE (Server-Sent Events) server using Docker.
Building the Docker Image
docker build -t mcp-imdb .
Running the Docker Image
docker run -p 8000:8000 mcp-imdb
The server will be available at http://localhost:8000/sse for SSE connections and http://localhost:8000/messages/ for POST messages.
Docker Compose
You can also use Docker Compose to run the server. Create a docker-compose.yml file:
services:
mcp-imdb:
image: ghcr.io/juanmandev/mcp-imdb:latest
build: .
ports:
- "8000:8000"
restart: always
Then run:
docker-compose up -d
Connecting VS Code GitHub Copilot to Docker
Once the server is running via Docker, add the following to your VS Code settings.json:
{
"github.copilot.chat.mcpServers": {
"mcp-imdb": {
"type": "sse",
"url": "http://localhost:8000/sse"
}
}
}
Development
Building and Publishing
To prepare the package for distribution:
1. Sync dependencies and update lockfile:
uv sync
2. Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
3. Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token: --token or UV_PUBLISH_TOKEN
- Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging
experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv --directory <dir_to>/git/mcp-imdb run mcp-imdb
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