This project creates an AI agent based on the n8n platform that can discover and use Model Context Protocol (MCP) server tools through the Nostr network. The agent searches for available tools by querying Data Vending Machines (DVM) in the network, sends requests, and obtains responses, thereby expanding the functionality of the LLM to use MCP tools that are not installed.

The Naver Search MCP Server is a multi - platform communication protocol service that provides access to Naver Search APIs, supports searching for various types of content such as blogs, news, books, and images, and optimizes structured text responses for AI agents.

Linkup for Claude is a tool that provides real-time internet access and high-quality content search capabilities for the AI assistant Claude, breaking through its knowledge cut-off limit and enhancing the timeliness and accuracy of its responses.

An MCP service for document retrieval based on vector search, providing relevant document context to enhance the response ability of AI assistants

The MCP-RAG Server is an implementation based on the Model Context Protocol (MCP), aiming to provide real-time document access to AI assistants through semantic vector search, thereby generating context-aware responses based on the latest information.

A Smartsheet API interaction server based on the Model Context Protocol (MCP), providing functions for searching, retrieving, and updating Smartsheet tables, supporting version backups and formatted responses.

An MCP server implementation based on the Gemini Flash 1.5 API. It coordinates multiple modular AI services (chatting, searching, RAG, deep reasoning, etc.) through a central router to achieve intelligent request distribution and response integration.

This project is an MCP server implementation based on the Gemini Flash 1.5 API. It coordinates multiple modular AI services (such as chatting, searching, RAG, in - depth reasoning, etc.) through a central router to achieve intelligent request distribution and response processing.