Overview
The Model Context Protocol (MCP) is an open standard for connecting AI assistants to external data sources and tools. The Trix MCP server allows any MCP-compatible AI assistant to store, search, and manage memories.
MCP enables AI assistants to maintain persistent memory across conversations, making them more helpful and context-aware without requiring any code changes to your application.
What is MCP?
The Model Context Protocol is an open standard developed to enable AI assistants to interact with external services in a standardized way. Instead of each AI assistant implementing custom integrations, MCP provides a common interface that any compliant tool can use.
Why Use MCP?
- No code required - Add memory to AI assistants through configuration only
- Universal compatibility - Works with any MCP-compatible client
- Automatic tool selection - AI assistants automatically choose when to use memory tools
- Seamless experience - Natural language interface for storing and recalling memories
How It Works
When you configure the Trix MCP server with an AI assistant:
- The MCP server exposes memory tools to the AI assistant
- The AI assistant can automatically store important information during conversations
- When relevant, the assistant recalls stored memories to provide better responses
- All memory operations happen seamlessly in the background
Compatible Clients
The Trix MCP server works with any MCP-compatible client, including:
Anthropic's desktop application with full MCP support
AI-powered code editor with MCP integration
AI coding assistant by Codeium
Open-source AI code assistant
High-performance code editor with AI
Works with any MCP-compatible application
Capabilities
With the Trix MCP server, AI assistants can:
- Store information - Save important details for long-term recall
- Search memories - Find relevant information using semantic similarity
- Organize content - Group memories into spaces and clusters
- Update memories - Modify or delete stored information
- Build context - Automatically retrieve relevant context for conversations
Example Interactions
Once configured, you can interact with Trix naturally:
- "Remember that I prefer TypeScript over JavaScript" - Stores a preference
- "What do you know about my coding preferences?" - Recalls relevant memories
- "Forget my preference about dark mode" - Deletes a specific memory
- "List everything you remember about me" - Lists all stored memories
The AI assistant automatically chooses the right tool based on your request. No special syntax or commands are required.