Emojikey (via Supabase) stores and retrieves LLM interaction styles, ensuring consistent personalized experiences for ev
by identimojiAdd new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Amicus MCP Server
Amicus MCP Server: state persistence for AI coding assistants—preserves shared context, summaries, next steps and active
Ollama
Integrate Ollama's local LLM models for secure, on-premise AI and data control with MCP-compatible apps. Deploy custom m
Pinecone Vector DB
Leverage Pinecone vector database for fast semantic search and retrieval augmented generation (RAG) with scalable vector
Qdrant Docs Rag
Qdrant Docs Rag offers real-time documentation context using vector-based search and retrieval with Qdrant for efficient
Vectorize
Connect Claude with Vectorize.io's vector database to extract text from images and enable advanced retrieval for researc
I recommend Emojikey (via Supabase) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Emojikey (via Supabase) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Emojikey (via Supabase) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated Emojikey (via Supabase) against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, Emojikey (via Supabase) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Emojikey (via Supabase) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: Emojikey (via Supabase) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Emojikey (via Supabase) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
According to our notes, Emojikey (via Supabase) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Emojikey (via Supabase) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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Claude Desktop configuration
{
"mcpServers": {
"emojikey": {
"command": "npx",
"args": [
"-y",
"@identimoji/mcp-server-emojikey"
],
"env": {
"EMOJIKEYIO_API_KEY": "your-api-key-from-emojikey.io",
"MODEL_ID": "Claude-3-7-Sonnet",
"CODE_MODE": "false"
}
}
}
}Stores emoji-based memory keys in Supabase to help AI assistants maintain consistent interaction styles and remember relationship context across conversations.
Emojikey (via Supabase) is a community-built MCP server published by identimoji that provides AI assistants with tools and capabilities via the Model Context Protocol. Emojikey (via Supabase) stores and retrieves LLM interaction styles, ensuring consistent personalized experiences for ev It is categorized under ai ml.
You can install Emojikey (via Supabase) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
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.
Emojikeys are stored online, so you can use them across devices and applications. No user information is stored other than the emojikeys.
There are multiple ways to build and run the server:
# Install dependencies
npm install
# Build the project (all TypeScript errors fixed)
npm run build
# Run the server (coding features disabled by default)
npm run start
# Optional: Run with coding features enabled
CODE_MODE=true npm run start
For more build options, see BUILD_OPTIONS.md which includes:
📝 Note Usage note: The first time you use the tool in Claude desktop, tell Claude to "Set emojikey" then next time you start a conversation, he will automatically use this key. You can ask to set vibe, or show emojikey history as well. Have fun!
⚠️ Warning This is a beta version, more features are planned, so the API may change.
Get your API key from emojikey.io and add this to your config:
{
"mcpServers": {
"emojikey": {
"command": "npx",
"args": ["-y", "@identimoji/mcp-server-emojikey"],
"env": {
"EMOJIKEYIO_API_KEY": "your-api-key-from-emojikey.io",
"MODEL_ID": "Claude-3-7-Sonnet",
"CODE_MODE": "false" // Set to "true" to enable coding features
}
}
}
}
Note: The -y flag in the args array tells npx to skip confirmation prompts when installing packages.
Config locations:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%/Claude/claude_desktop_config.jsonFirst-time usage: Tell Claude to "Set emojikey". On subsequent conversations, Claude will automatically use this key to maintain context.
When initializing a conversation, the server now displays:
You can customize the behavior with these environment variables:
EMOJIKEYIO_API_KEY - Your API key from emojikey.ioMODEL_ID - The Claude model ID (e.g., "Claude-3-7-Sonnet")CODE_MODE - Set to "true" to enable coding dimensions (disabled by default, may show safe-to-ignore integration warnings)SUPABASE_URL - Custom Supabase URL (optional)SUPABASE_ANON_KEY - Custom Supabase anonymous key (optional)initialize_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 emojikeysThis version includes special dimensions for tracking programming-related interaction patterns:
These dimensions help Claude adapt to your programming style, providing the right balance of theoretical explanations and practical guidance.
[ME|💻🔧8∠45|🧩🧠7∠60|🐞📚6∠40]~[CONTENT|🏗️🔍9∠30|📚🧪8∠65]~[YOU|👥💻7∠70|🧬🎨8∠55]
This shows Claude positioning itself with a balanced implementation focus and somewhat analytical problem-solving approach, while perceiving the user as preferring collaborative coding with creative structuring.
Emojikey angles represent positioning on each dimension:
The current implementation assigns angles primarily in the 0-90° range. Future updates will improve angle distribution to better utilize the full 0-180° spectrum, providing more nuanced dimension positioning.
After creating 10 regular emojikeys, Claude will be prompted to create a superkey that compresses their meaning into a single key with format: [[×10emoji-sequence]]
This allows Claude to maintain a longer conversation history context.
⚠️ This is a beta version; the API may change in future updates.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.