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Provides AI assistants with access to materials science databases, enabling search and analysis of material properties, crystal structures, phase diagrams, and elastic properties through the Materials Project API.

A conversational application server that integrates LLM capabilities via Ollama with vector memory context, supporting multiple users, sessions, automatic history summarization, and a plugin system for executing real actions.

A template for deploying MCP servers on Vercel with serverless functions. Includes example tools for rolling dice and getting weather data to demonstrate basic functionality and API integration patterns.

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.

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.

🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.

Enables AI assistants to store and retrieve long-term memories using PostgreSQL with vector similarity search. Supports semantic memory operations, tagging, and real-time updates for persistent learning across conversations.

A persistent local vector memory server that allows users to store and search project-specific context using LanceDB and local embeddings. It enables MCP-compliant editors to maintain long-term memory across different projects without requiring external API keys.

Provides persistent memory functionality for AI conversations by creating, managing and querying entities and relationships in a knowledge graph. Features SQLite storage, advanced search capabilities, and Windows auto-start integration for long-term AI memory retention.

Provides intelligent memory management capabilities using Qdrant vector database for semantic search and storage. Supports global, learned, and agent-specific memory types with markdown processing and duplicate detection.

MCP server for the mGBA Game Boy Advance emulator. Read and write GBA memory, inject button presses, take screenshots, save/load state, and step the emulator through a Lua bridge.

A tutorial implementation MCP server that enables analysis of CSV and Parquet files. Allows users to summarize data and query file information through natural language interactions.

An MCP server to autonomously launch, manage, and shutdown local mlx-lm instances on Apple Silicon.（Apple Silicon上でローカルLLM (mlx-lm) を自律的に起動・管理・停止するためのMCPサーバー。）

Enables AI agents to query and introspect MongoDB databases through find, aggregate, and schema discovery operations. Supports read-only default mode with optional write capabilities and works with any MCP-compatible client via stdio or HTTP transports.

Enables control of smart lights through MQTT messaging protocol, supporting operations like turning lights on/off and adjusting brightness levels from 0-100.

A Model Context Protocol server that allows Large Language Models like Claude to execute SQL queries, explore database schemas, and maintain persistent connections to SQL Server databases.

A MyBatis configuration validation tool that checks for consistency between Java entity fields and database columns across XML maps, annotations, and SQL queries. It provides detailed diagnostic reports and actionable prompts to help developers identify and fix mapping errors and configuration issues.

Enables interaction with MySQL databases (including AWS RDS and cloud instances) through natural language. Supports database connections, query execution, schema inspection, and comprehensive database management operations.

Enables full control database operations on MySQL through natural language commands. Supports querying, data manipulation, table management, backups, and system administration with comprehensive SQL execution capabilities.