Achriom

by achriom

1 stars

380 downloads

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GitHub

About

The media memory layer for AI agents and their humans. Track books, movies, music, TV, and anime from any MCP client.

Details

Author: achriom
GitHub stars: 1
Downloads: 380
Categories: Productivity, Media, AI, Other, Knowledge Base

- Search by title, creator, genre, theme, or mood
- Full metadata with AI analysis and your notes
- Read and write ratings, status, and notes from any client
- 30-second Apple Music previews for albums
- YouTube search for trailers, interviews, and video essays
- Semantic search inside uploaded EPUBs
- 10 librarian prompts that shape AI engagement with your collection

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 Achriom

Command (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

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

From the repository

For Claude, install the plugin or add the connector via Settings. For ChatGPT, open the dedicated Achriom app. For other MCP clients, use the OAuth-secured MCP URL https://mcp.achriom.com/mcp. A free Achriom account is required.

`search`

Search the USER'S COLLECTION by title, creator, genre, or theme. Returns items they own with status, ratings, and for box sets, the list of contained albums. Use this to answer questions about what the user has.

`get_details`

Get FULL details of an item FROM THE USER'S COLLECTION including AI analysis, user notes, rating, timeline, and all metadata. For albums: includes track list with durations. For box sets: lists ALL contained albums. Use this to answer specific questions about items the user owns.

`get_stats`

Get collection statistics including progress, rating distribution, genre/theme breakdown, and timeline. If no media_type specified, returns combined stats.

`update_status`

Update status. Books: unread, reading, finished, abandoned. Movies/shows/anime: unwatched, watching, watched, abandoned. Albums: unheard, listening, played, saved.

`update_rating`

Set or update user rating (1-5 stars).

`update_notes`

Add or update personal notes for an item.

`get_by_rating`

Get items filtered by user rating range.

`get_by_status`

Get items filtered by status. Books: unread, reading, finished, abandoned. Movies/shows/anime: unwatched, watching, watched, abandoned. Albums: unheard, listening, played, saved.

`get_timeline`

Get timeline showing items started and finished over time.

`edit_item`

Edit metadata (title, creator, external ID). Use new_external_id to re-link to correct database entry, then call re_enrich to fetch correct metadata.

`lookup_item`

Search EXTERNAL databases (NOT the user's collection) to find items BEFORE adding them. Use search/get_details for items the user already owns. Data sources: Books=OpenLibrary, Movies/Shows=TMDB, Albums=Discogs, Anime=AniList. Use anime (not show) for Japanese animation.

`add_item`

Add a new item to the library. For best results, use lookup_item first to get the external_id. IMPORTANT: Use anime (not show) for ALL Japanese animation including series, movies, OVAs.

`delete_item`

Delete an item from the library.

`re_enrich`

Re-fetch all metadata from external sources. Use when item has wrong data.

`search_youtube`

Search YouTube for relevant videos (interviews, trailers, analysis, music videos).

`get_track_previews`

Get playable 30-second audio previews for tracks from an album IN THE USER'S LIBRARY.

`preview_album`

Preview any album from Apple Music WITHOUT adding to library. Use this to sample before committing to add. Returns playable 30-second previews.

`search_book_content`

Semantic search within an uploaded book (EPUB/PDF). Uses AI embeddings to find relevant passages.

`read_book_section`

Read a specific section of an uploaded book by line numbers.

`bulk_update_status`

Update status for multiple items at once.

`random_pick`

Pick random item(s) for serendipitous discovery.

`expand_research_scope`

Add an item to the current research corpus (focused research mode only).

`get_scope_info`

Get information about the current research scope.

`get_context`

Get user context for adaptive conversation. Returns lifecycle stage and behavioral signals.

`get_signals`

Get behavioral signals: theme repetition, consumption gaps, and recent activity.

`search_conversations`

Search past conversations with this user. Supports semantic search - finds conceptually related conversations, not just keyword matches.

`save_insight`

Save a lasting insight about the user to their persistent profile. Use when you discover meaningful patterns, preferences, personal connections to media, or cross-media themes.

`get_user_profile`

Get the persistent profile built from past conversations. Shows taste patterns, key facts, cross-media connections, and preferences.

`show_item`

ALWAYS use this tool when users say "show me", "open", "go to", "take me to", or "pull up" an item. This navigates them to the item's detail page. Works on ALL clients (web app, iOS app, Claude Desktop) - triggers navigation or returns clickable URL. Do NOT just describe the item when they want to SEE it.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "achriom": {
            "achriom": {
                "type": "http",
                "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
            }
        }
    }
}

McpServers

{
    "achriom": {
        "type": "http",
        "url": "https://mcp.achriom.com/mcp?api_key=YOUR_KEY"
    }
}

- Search your media library— Ask for books, movies, albums, or games by title, creator, genre, theme, or mood using semantic search.
- Update item details— Modify ratings, status, notes, or priority for any item in your collection directly from chat.
- Track progress— Update page counts, season/episode numbers, or repeat plays for books, shows, and music.
- Preview music and videos— Request 30-second Apple Music samples for albums or find YouTube trailers and interviews.
- Curate cross-media lists— Create and manage mixtape-style lists combining books, movies, albums, and more.
- Get collection insights— Ask for patterns across your ratings, genres, and themes to spot trends in what you consume.

The media memory layer for AI agents and their humans. Your AI client gets 43 tools to search your collection, add items, update ratings, preview music, curate lists, and find patterns across everything you've read, watched, listened to, and played.

Access your Achriom library from Claude, ChatGPT, or any MCP-compatible client.

43 tools·15 prompts·7 media types·Free for all accounts

Everything the in-app librarian uses, across books, movies, albums, TV shows, anime, podcasts, and games:

- Search: by title, creator, genre, theme, or mood, with semantic search across the whole library
- Item details: full metadata with AI analysis and your notes
- Collection stats: patterns across ratings, genres, themes
- Read and write: update ratings, status, notes, and priority from any client
- Lists: cross-media lists you curate, mixtapes for everything you love, shareable from the app
- Progress: page counts, season and episode tracking, repeat plays and rereads
- Games: platforms, time to beat, screenshots, and franchises
- Apple Music previews: 30-second samples for albums
- YouTube search: trailers, interviews, video essays
- Book search: semantic search inside uploaded EPUBs

Plus 15 librarian prompts that shape how AI engages with your collection.

Requires a paid Claude plan (Pro, Max, Team, or Enterprise).

Includes MCP access plus Achriom-specific skills built for Claude.
- Go toSettings → Plugins
- ClickAdd plugins
- Paste this URL and install:

https://github.com/achriom/achriom-claude-plugin.git

Connection details atapp.achriom.com/mcp.

The in-app librarian knows things external clients don't — your conversation history, current research focus, how to present results visually. It's built for the experience.

External clients get the raw tools. Capable, but less context. Use the app when you want the full experience. Use MCP when you want your data somewhere else.

Free Achriom account required. MCP access is included on all plans.

For developers and agents:docs/contains detailed tool and prompt specifications.

- Smithery— Remote MCP server
- Glama— MCP directory
- MCP.so— Community directory

Local-first cross-agent memory MCP. 6-layer structured brain (goal/context/emotion/impl/caveat/learning) with token-saving file diff cache (86% measured savings on re-reads)

Give your AI the ability to remember key facts and everything you've ever discussed

Centralized note store across AI clients: Claude, ChatGPT, Cursor, Codex, Windsurf. Save in one client, access in another instantly. Across devices — phone, desktop, everywhere. Cross-session context: 'catch me up' surfaces plans and findings from any prior session. AES-256-GCM encryption at rest, per-user key isolation. Soft delete with 30-day recovery window. Pin notes to exempt from cleanup and prioritize. Tag notes for categorization and filtering ('tag: auth'). Your mctx account is your identity — instant access from any AI tool.

An AI capability enhancement system providing professional roles, memory management, and knowledge systems for applications like Claude and Cursor.

AI conversation memory that works everywhere — save and recall across Claude, ChatGPT, Gemini, Cursor, and all MCP-compatible platforms. 11 tools including shared community memories.

Engram is a hosted MCP server that provides reliable memory for AI agents:

Agent memory with git-like version control. Custom LLMs turn conversations into structured facts with automatic conflict detection - your agent sees how decisions evolved, not four contradictory text blobs. 80% token reduction vs RAG/graph systems. MCP + REST.

Persistent memory for AI assistants and coding agents across ChatGPT, Claude, Cursor, and other MCP-compatible tools.

Local Work Model for AI agents that learns from real outcomes.

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About

Details

Jump to

Setting up with Highlight

From the repository

search

get_details

get_stats

update_status

update_rating

update_notes

get_by_rating

get_by_status

get_timeline

edit_item

lookup_item

add_item

delete_item

re_enrich

search_youtube

get_track_previews

preview_album

search_book_content

read_book_section

bulk_update_status

random_pick

expand_research_scope

get_scope_info

get_context

get_signals

search_conversations

save_insight

get_user_profile

show_item

Claude Desktop / Cursor

McpServers

Install

More like this

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`search`

`get_details`

`get_stats`

`update_status`

`update_rating`

`update_notes`

`get_by_rating`

`get_by_status`

`get_timeline`

`edit_item`

`lookup_item`

`add_item`

`delete_item`

`re_enrich`

`search_youtube`

`get_track_previews`

`preview_album`

`search_book_content`

`read_book_section`

`bulk_update_status`

`random_pick`

`expand_research_scope`

`get_scope_info`

`get_context`

`get_signals`

`search_conversations`

`save_insight`

`get_user_profile`

`show_item`