Store text or raw content as a memory in the Memory Box MCP Server, organizing it into specific buckets with structured metadata for easy retrieval and semantic understanding.
Modify or append content to a specific section of a memory document using Markdown formatting. Supports headings, bold, italic, code, links, lists, and tables for structured updates.
Retrieve full content of a memory document, preserving all Markdown formatting (headings, bold, italic, code, links, tables, lists). Use the memory ID to access detailed project context.
Analyze MySQL memory usage by host, user, or event type to identify memory allocation patterns and optimize database performance using performance schema data.
Generate structured memories from text or explicit memory objects for a user using the Omi MCP Server. Ideal for organizing and extracting meaningful information from emails, social posts, or other sources.
Enables AI assistants to interact with Slack Lists through comprehensive tools for creating, retrieving, filtering, and managing list items. Supports bulk operations, data export, subtask creation, and all Slack List field types with robust error handling and production-ready implementation.
Provides persistent memory and semantic code understanding for AI assistants using MongoDB Atlas Vector Search. Enables intelligent code search, memory management, and pattern detection across codebases with complete semantic context preservation.