Conversation Save Load

Provides persistent conversation storage through local file system operations with save and load tools for maintaining dialogue context across sessions.

Conversation save/load MCP server that provides AI assistants with persistent conversation storage through local file system operations. Built with TypeScript using the Model Context Protocol SDK, fs-extra, and Zod for input validation, the implementation offers two core tools: save-conversation for storing conversation summaries with unique identifiers, and load-conversation for retrieving previously saved content. Features security-hardened path validation to prevent directory traversal attacks, stores files in a dedicated ~/.mcp-conversation-save-load directory, and includes comprehensive error handling with sanitized conversation IDs restricted to alphanumeric characters, hyphens, and underscores. Designed for AI assistants that need to maintain conversation context across sessions, knowledge management workflows, and applications requiring persistent storage of dialogue summaries without external database dependencies.