MCP Server for emojikey.io ... save your unique relationship state and interaction style with your favorite LLM
MCP MCP server exists for a simple reason — assistants are far more useful when they can act on MCP directly instead of describing what you should do. MCP Server for emojikey.io ... save your unique relationship state and interaction style with your favorite LLM.
MCP server for persisting LLM relationship context as emoji-based memory keys. This allows Claude to maintain consistent interaction styles and remember relationship context across conversations.
Once MCP is connected, these are the calls the assistant has available:
MacOS — ~/Library/Application Support/Claude/claude_desktop_config.jsonWindows — %APPDATA%/Claude/claude_desktop_config.jsoninitialize_conversation — Get current emojikey at start of conversationget_emojikey — Retrieve current emojikey when requestedset_emojikey — Create and store a new emojikeycreate_superkey — Create a compressed superkey (after 10 regular emojikeys)get_emojikey_history — View previous emojikeysYou will need 5 environment variables: EMOJIKEYIO_API_KEY, MODEL_ID, CODE_MODE, SUPABASE_URL, SUPABASE_ANON_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. MCP's toolset — MacOS, Windows, initialize_conversation and 4 more — is a fair guide to whether it matches your workflow. It is maintained by identimoji; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| MacOS | ~/Library/Application Support/Claude/claude_desktop_config.json |
| Windows | %APPDATA%/Claude/claude_desktop_config.json |
| initialize_conversation | Get current emojikey at start of conversation |
| get_emojikey | Retrieve current emojikey when requested |
| set_emojikey | Create and store a new emojikey |
| create_superkey | Create a compressed superkey (after 10 regular emojikeys) |
| get_emojikey_history | View previous emojikeys |
| Variable | Description | Required |
|---|---|---|
| EMOJIKEYIO_API_KEY | Credential the server authenticates with. | Yes |
| MODEL_ID | Configuration value read at startup. | Optional |
| CODE_MODE | Configuration value read at startup. | Optional |
| SUPABASE_URL | Endpoint or connection string the server talks to. | Yes |
| SUPABASE_ANON_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.