MemGPT MCP Server

what is MemGPT MCP Server? MemGPT MCP Server is a TypeScript-based Model Context Protocol (MCP) server that provides persistent memory and multi-model support for large language models (LLMs). It allows users to chat with various LLM providers while maintaining conversation history. how to use MemGPT MCP Server? To use MemGPT MCP Server, install the necessary dependencies, build the server, and configure it with your LLM provider API keys. You can then interact with the server through its tools to send messages, retrieve memory, or switch providers. key features of MemGPT MCP Server? Supports multiple LLM providers (OpenAI, Anthropic, OpenRouter, Ollama) Tools for sending messages, retrieving, and clearing conversation history Ability to switch between different models and providers Unlimited memory retrieval option use cases of MemGPT MCP Server? Engaging in conversations with various LLMs while keeping track of context. Utilizing different models for specific tasks like customer support or content generation. Debugging and inspecting LLM interactions using the MCP Inspector. FAQ from MemGPT MCP Server? Can I use multiple LLM providers with MemGPT? Yes! MemGPT supports multiple providers including OpenAI and Anthropic. How do I retrieve my conversation history? You can use the get_memory tool to retrieve your conversation history, with options for limiting the number of memories. Is there a way to clear my conversation history? Yes! You can use the clear_memory tool to remove all stored memories.

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

To use MemGPT MCP Server, install the necessary dependencies, build the server, and configure it with your LLM provider API keys. You can then interact with the server through its tools to send messages, retrieve memory, or switch providers. key features of MemGPT MCP Server? Supports multiple LLM providers (OpenAI, Anthropic, OpenRouter, Ollama) Tools for sending messages, retrieving, and clearing conversation history Ability to switch between different models and providers Unlimited memory retrieval option use cases of MemGPT MCP Server? Engaging in conversations with various LLMs while keeping track of context. Utilizing different models for specific tasks like customer support or content generation. Debugging and inspecting LLM interactions using the MCP Inspector. FAQ from MemGPT MCP Server? Can I use multiple LLM providers with MemGPT? Yes! MemGPT supports multiple providers including OpenAI and Anthropic. How do I retrieve my conversation history? You can use the get_memory tool to retrieve your conversation history, with options for limiting the number of memories. Is there a way to clear my conversation history? Yes! You can use the clear_memory tool to remove all stored memories.

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