Connect AI assistants to your ERPNext instance via the Model Context Protocol (MCP) using the official Frappe API.
LocalMind is an local LLM Chat App fully compatible with the Model Context Protocol. It uses Azure OpenAI as a LLM backend and you can connect it to all MCP Servers out there.
A secure MCP TypeScript SDK server for safe terminal command execution with comprehensive security controls
This project uses PowerBI to analyze and visualize detailed information about various renewable energy systems. The dataset includes data on installed capacity, energy production, consumption, storage, investment, and environmental impact.
MokeWenShu is an AI-powered analysis tool for China Judgments Online, leveraging NLP and legal knowledge graphs to enable conversational document analysis, similar-case pattern mapping, and visualized judgment trend tracking, delivering dynamic insights for legal decision-making.
Claude に指示するだけで書かせたコード。人間は一文字も書いていません(ドキュメントも含め)。人間は作られた成果物の動作テストと、その際発生したエラーログの提供のみを行っています。 Windows 10 Claude Desktop でデフォルトで提供されている filesystem MCPサーバーのみ有効化して実施しました。
With this you can search your personal Telegram messages, search your contacts, and send messages to either individuals or groups.
Este projeto é um playground para criar o primeiro servidor MCP (Model Context Protocol), um protocolo que permite integrar LLMs a recursos externos de forma padronizada.
MCP server implementation for Atlassian (Confluence and Jira) integration in TypeScript
Hi, Spring and AWS fans! in this installment industry legend James Ward and his trusty sidekick Josh look at the amazing opportunities marrying Spring AI and AWS Bedrock!
Steve: Cloud-based Personal Assistant platform leveraging mcpomni-connect for multi-model support
Implementation of an MCP (Model Context Protocol) Server for SQLite. It provides an AI model with context and the ability to execute SQL queries.
A specialized weather data server built using the MCP SDK and TypeScript that provides weather information through the Model Context Protocol (MCP). This project enables Large Language Models that support MCP to access weather data directly, creating a seamless integration between AI systems and real-time weather information.































































































