home / mcp / achriom mcp server
Provides a centralized media memory layer with 29 tools to search, rate, preview, and analyze across your media collection from any MCP client.
Configuration
View docs{
"mcpServers": {
"achriom-achriom-mcp": {
"url": "https://mcp.achriom.com/mcp"
}
}
}Achriom MCP Server provides a centralized memory layer for your AI agents to access and interact with your media collection. You can search, rate, preview, and analyze across multiple media types from any MCP-compatible client, keeping your conversations focused and your results consistent.
You connect your MCP client to Achriom to access the library tools. Use the in-app librarian to leverage context such as your conversation history and current research focus, or use external MCP clients to access the raw tools with your data. The built-in experience is designed for rich, context-aware results, while external clients offer portability and data delivery to your preferred workflow.
Prerequisites: you need a free Achriom account to access MCP features. You will connect through an MCP URL provided for the server, or you can use an external MCP client with your personal API key.
Step 1: Ensure your Achriom account is active and you have MCP access on your plan.
Step 2: Obtain your MCP connection details from your Achriom account settings. For HTTP clients, you will use the MCP URL to connect.
Step 3: If you are using an external MCP client, prepare your API key as shown in the connection example. You will append the key to the MCP URL when needed.
https://mcp.achriom.com/mcp?api_key=YOUR_KEY• Search by title, creator, genre, theme, or mood to quickly locate items in your collection.
• View item details with full metadata, AI analysis, and your notes to decide what to read, watch, or listen to next.
• Explore collection statistics to discover patterns across ratings, genres, and themes.
• Read or write updates such as ratings, status, and notes from any connected client.
• Preview music with Apple Music 30-second samples and search YouTube for trailers, interviews, or video essays.
• Use semantic search inside uploaded EPUBs for quick book-level insights.
Search by title, creator, genre, theme, or mood to locate items in your collection.
Retrieve full metadata with AI analysis and your notes for each item.
Analyze patterns across ratings, genres, and themes to reveal insights.
Update ratings, status, and notes from any connected client.
Play 30-second Apple Music previews for albums.
Search YouTube for trailers, interviews, and video essays.
Perform semantic search inside uploaded EPUBs.
10 librarian prompts that shape how AI engages with your collection.