n8n AI Agent for DVM MCP Server

What is n8n AI Agent for DVM MCP?

n8n AI Agent for DVM MCP is a set of n8n workflows that create an AI Agent capable of discovering and using Model Context Protocol (MCP) tools served as Data Vending Machines (DVMs) over the Nostr network. It enables LLMs to find and use tools they do not have installed, by querying for them as DVMs on Nostr.

How to use n8n AI Agent for DVM MCP?

Install a self-hosted n8n instance and add the Nostrobots Community Nodes. Import the five GitHub workflows (DVMCP Agent Example v1.0 and four Tools Subworkflows) into n8n. Configure credentials for OpenAI API (or other LLM), SerpAPI, a Nostr private key (Nsec), and a Postgresql/Supabase database. Set workflow variables (Assistant Name, Assistant Npub, Nostr Relays, User Localisation). Manually reconnect each Tool Subworkflow to the main workflow on first install.

Key features of n8n AI Agent for DVM MCP

• Discover and use MCP tools over Nostr network
• No need to pre-install MCP servers locally
• Built on n8n low-code platform
• Integrates DVMCP protocol for server-tool discovery
• Includes five reusable n8n subworkflows
• Uses a system prompt to orchestrate tool usage

Use cases of n8n AI Agent for DVM MCP

• Deploy an AI agent that dynamically discovers and uses remote MCP tools
• Create a user assistant that queries Nostr for tool availability
• Automate multi-step workflows requiring external data or services
• Experiment with MCP tool discovery and usage in a low-code environment