# Conversation management

A modern MCP server implementation that supports multi-AI providers, real-time response, conversation management, and monitoring functions, using a microservices architecture.

OpenRouter language model conversation management server based on the MCP protocol

An MCP server based on TypeScript that provides a memory system function for LLMs, supporting multi - platform conversations and historical record management.

An MCP server implementation based on Flask, used to enhance the capabilities of large language models through external tools, supporting tool invocation, parameter parsing, and result injection.

Titanmind WhatsApp MCP is a WhatsApp marketing and messaging service tool based on the Titanmind platform. It provides functions such as conversation management, template creation, and bulk sending, supporting free - form messages within 24 hours and automatic processing of template workflows.

The Dixa MCP Server is an API service implemented based on the FastMCP framework, providing conversation management and tag operation functions.

This project achieves seamless integration between Claude Desktop and the API through the MCP server, providing advanced features such as system prompts and conversation management, supporting multiple Claude models, and allowing users to flexibly switch between the professional version and API usage.