TxtAI Assistant MCP

What is TxtAI Assistant MCP? TxtAI Assistant MCP is a Model Context Protocol (MCP) server implementation designed for semantic search and memory management using the txtai framework. It provides a robust API for storing, retrieving, and managing text-based memories with advanced semantic search capabilities. How to use TxtAI Assistant MCP? To use TxtAI Assistant MCP, clone the repository, run the start script to set up the server, and configure it with environment variables. You can then integrate it with AI assistants like Claude and Cline to enhance their memory and search functionalities. Key features of TxtAI Assistant MCP? Semantic search across stored memories Persistent storage with a file-based backend Tag-based memory organization and retrieval Memory statistics and health monitoring Automatic data persistence and comprehensive logging Configurable CORS settings Integration with Claude and Cline AI Use cases of TxtAI Assistant MCP? Enhancing AI assistants with semantic memory capabilities. Storing and retrieving important information in a conversational context. Managing and organizing text-based memories for various applications. FAQ from TxtAI Assistant MCP? Can TxtAI Assistant MCP be used with any AI assistant? Yes! It can be integrated with Claude and Cline AI for enhanced functionalities. Is there a specific Python version required? Yes, Python 3.8 or higher is required to run the server. How is data stored in TxtAI Assistant MCP? Data is stored in JSON files within the data directory, allowing for easy management and retrieval.

As an MCP (Model Context Protocol) server, TxtAI Assistant MCP enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use TxtAI Assistant MCP, clone the repository, run the start script to set up the server, and configure it with environment variables. You can then integrate it with AI assistants like Claude and Cline to enhance their memory and search functionalities. Key features of TxtAI Assistant MCP? Semantic search across stored memories Persistent storage with a file-based backend Tag-based memory organization and retrieval Memory statistics and health monitoring Automatic data persistence and comprehensive logging Configurable CORS settings Integration with Claude and Cline AI Use cases of TxtAI Assistant MCP? Enhancing AI assistants with semantic memory capabilities. Storing and retrieving important information in a conversational context. Managing and organizing text-based memories for various applications. FAQ from TxtAI Assistant MCP? Can TxtAI Assistant MCP be used with any AI assistant? Yes! It can be integrated with Claude and Cline AI for enhanced functionalities. Is there a specific Python version required? Yes, Python 3.8 or higher is required to run the server. How is data stored in TxtAI Assistant MCP? Data is stored in JSON files within the data directory, allowing for easy management and retrieval.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.