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Connects Home Assistant media players to Cursor, allowing automated control of playback (play/pause) based on agent activity for dopamine-driven development breaks.

Enables users to manage medical appointments by searching for doctors, checking availability, and booking sessions through a natural language interface. It serves as a reference implementation for advanced MCP features like symptom-based specialist recommendations and multi-step scheduling workflows.

MCP server that routes medical questions and images to MedGemma models hosted on Vertex AI, enabling interaction with text-only and multimodal medical AI systems.

Meelion MCP ) connects AI assistants and automated clients to Meelion's structured data: a Brazilian platform for researching, comparing, and tracking investments, focusing on fixed income, indicators (Selic, CDI, IPCA, savings) and exchange rates (dollar, euro, gold, silver, Bitcoin).

An AI-powered meeting assistant that combines FastAPI backend with React frontend to generate high-quality meeting summaries and provide Q&A functionality using OpenAI and Selenium.

Integrates the MeetSync calendar negotiation API to enable AI agents to autonomously manage participants, find mutual availability, and handle meeting bookings. It exposes 19 tools for end-to-end scheduling workflows including participant preferences, proposals, and confirmations.

A simple note storage system that allows creating, storing, and summarizing notes with customizable detail levels.

Enables AI assistants to convert text to high-quality speech audio using MeloTTS. Automatically splits long texts into segments, generates WAV files, and merges them using ffmpeg with support for multiple languages and customizable speech parameters.

Provides AI agents with persistent long-term memory capabilities using semantic search. Enables storing, retrieving, and searching memories through three core tools integrated with Mem0 and vector storage.

A robust server for managing long-term agent memory using Mem0, providing efficient storage and retrieval of agent memories with a lightweight Python-based implementation.

A persistent long-term memory server for AI assistants that enables storing and recalling solutions, facts, and decisions with intelligent confidence tracking and relationship mapping. It allows developers to build a cross-platform knowledge base that integrates seamlessly with IDEs and CLI agents.

Provides AI coding assistants with persistent memory storage using a local SQLite database. Enables tools to remember project details, notes, and relationships across sessions to maintain context and reduce repetitive explanations.

Enables AI assistants to store and retrieve memories with semantic search capabilities using vector embeddings. Provides persistent memory storage with SQLite backend for context retention across conversations.

With Memori's MCP server, your agent can retrieve relevant memories before answering and store durable facts after responding, keeping context across sessions without any SDK integration. With MCP, it can: Store stable user facts and preferences after answering using the advanced_augmentation tool Recall relevant memories before answering using the recall tool Maintain context across sessions us

An MCP server that gives AI assistants (like Cursor, Claude, Windsurf) the ability to remember user information across conversations using vector search technology.

A MCP Server that gives AI assistants the ability to remember information about users across conversations using vector search technology.

Enables MCP clients to remember user preferences and behaviors across conversations using vector search technology.

Enables MCP clients to remember user information, preferences, and behaviors across conversations using vector search technology. Built on Cloudflare infrastructure with AI-powered semantic search to find relevant memories based on meaning rather than keywords.

Enables AI assistants to remember and retrieve user information across conversations using vector search technology. Built on Cloudflare infrastructure with isolated user namespaces for secure, persistent memory storage.

MCP Memory Bank (mcp-memory-bank-6fa32141)

A powerful, production-ready context management system for Large Language Models (LLMs). Built with ChromaDB and modern embedding technologies, it provides persistent, project-specific memory capabilities that enhance your AI's understanding and response quality.