Meigen AI is a curated meigen ai image prompt library.

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

Create and manage MeisterTask projects, tasks, and notes from your AI assistant.

An MCP server for accessing data from Data.gov, providing tools and resources for interacting with government datasets.

Shipping rates, labels, tracking, and agency management via Melhor Envio.

Connect your Méliuz account to AI via Brazil's Open Finance: balances, statements, cards, investment

Control and interact with a Nintendo DS emulator through MCP.

Work in progress (for now)

interactive programming of melodies, producing MIDI

AI interior design — restyle rooms, place furniture, and virtually stage spaces from a photo.

✨ mem0 MCP Server: A memory system using mem0 for AI applications with model context protocl (MCP) integration. Enables long-term memory for AI agents as a drop-in MCP server.

Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama while using Claude as the main LLM.

Model Context Protocol server that exposes the Mem0 long-term memory API as tools

mem-agent mcp server

Typed semantic memory MCP server with 13 memory categories and bi-temporal audit trails using Moorcheh vector storage.

MCP server for membank. Exposes memory tools to LLMs via the [Model Context Protocol](https://modelcontextprotocol.io).

MemberJunction: Model Context Protocol (MCP) - Server Implementation

Connect AI assistants to MemberPass Telegram community monetization with 42 tools for projects, subscriptions, members, payments, and webhooks.

Versioned context store with hybrid search for AI agents. Stdio + HTTP MCP server and CLI.

Memchats MCP Server — access your conversation memory from any AI assistant

🧠 Privacy-first MCP server for AI memory management. Save, search & organize chat history with intelligent summarization.

Portable Agent Memory. Connect your AI conversations. Remember everything. Everywhere.

Provides local memory layer using Qdrant vector storage and Ollama embeddings for persistent context storage across conversations, automatically indexing project documentation and enabling user-defined memory segregation by project without requiring API keys or cloud dependencies.