N8n AI Agent DVM MCP Client

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.

Artificial intelligence chatbots Developer tools #AI agent #MCP tools #Nostr network #Data vending

rating : 2.5 points

downloads : 25

update time : 2025-04-29

What is the n8n AI Agent for DVM MCP?

This is an intelligent agent system that allows AI to automatically discover and use distributed MCP tools through the Nostr network. It solves the limitation of traditional AI tools that require local installation and enables true distributed tool calls.

How to use this AI agent?

Users only need to provide natural language instructions, and the agent will automatically complete the following processes: 1) Search for available tools; 2) Send requests; 3) Wait for responses; 4) Return results. The entire process is fully automated.

Applicable scenarios

Suitable for scenarios that require dynamic expansion of AI capabilities, especially when the required tools are not pre - installed locally. Typical use cases include real - time data query, cross - platform service integration, distributed computing, etc.

Main features

Automatic tool discoveryAutomatically search for available MCP tool servers in the Nostr network

Distributed tool callUse any MCP tool in the network without local installation

Response waiting mechanismIntelligently wait for tool responses and support timeout retry

Advantages and limitations

Advantages

Break through local tool limitations and access MCP tools across the network

Based on the Nostr network, decentralized and censorship - resistant

Low - code implementation, easy to customize through the n8n platform

Limitations

Dependent on the quality of the Nostr network connection

The tool response time may be long

Basic knowledge of the n8n platform is required for configuration

How to use

Installation preparation

Deploy the n8n platform and install the Nostrobots community nodes

Import workflows

Import 5 predefined workflows from GitHub

Configure credentials

Set necessary credentials such as the OpenAI API key and Nostr private key

Usage examples

Currency conversionWhen the user requests currency conversion, the agent automatically searches for exchange - rate calculation tools

Data queryQuery real - time data such as cryptocurrency prices

Frequently Asked Questions

Is programming knowledge required?

How long is the response time?

How to obtain a Nostr private key?

Related resources

MCP protocol documentation

Official documentation of the Model Context Protocol

Nostrobots nodes

Nostr community nodes for n8n

Contact the developer

Contact the project developer through Nostr

🚀 n8n AI Agent for DVM MCP

This project creates an AI agent that serves as a user of the Data Vending Machine (DVM) for the Model Context Protocol (MCP) server tool running over the Nostr network.

When the agent receives a prompt requiring the use of tools:

It will query the network to find available tools it can use.
Send requests to these tools.
Wait for the required tool responses.
Read the tool responses and reply to the user.

Why is this interesting?

For a Large Language Model (LLM) to use MCP tools, the MCP server usually needs to be installed on the same system.
There has been no way for an LLM to discover and use MCP servers and tools that are not yet installed.
The Data Vending Machine enables the LLM to discover and use tools via the Nostr network.
This AI agent example demonstrates how to build an AI that can find and use MCP tools it hasn't installed by querying DVMs on the Nostr network.

🔧 Technical Details

MCP: The Model Context Protocol is an open protocol that allows AI agents to access data sources and tools. Learn more.
DVM: The Data Vending Machine listens for and responds to queries over the Nostr network. Learn more.
DVMCP: The Data Vending Machine Context Protocol connects the Model Context Protocol server to the Nostr Data Vending Machine ecosystem. Any MCP server can offer any tool over the network, and any agent client can access all tools provided by any server. See DVMCP developed by Gzuuus and NostrDVM developed by BelieveTheHype.
n8n: A low - code platform well - suited for creating Langchain tool agents. Learn more.

Nostr Link

Contact me npub1r0d8u8mnj6769500nypnm28a9hpk9qg8jr0ehe30tygr3wuhcnvs4rfsft.

📄 License

This project is licensed under the MIT License.

🚀 Quick Start

Installation and Configuration Guide

1. Install n8n

Before you start, make sure n8n is installed. You can find detailed installation instructions in the n8n official documentation.

2. Configure Credentials

Configure the corresponding credentials (such as API keys, access tokens, etc.) according to your use case. This information will be used to interact with the MCP server and DVM.

3. Set System Prompt

Set a system prompt for the AI agent, for example:

**Tips for Using DVM**

- If the user requests a tool function you don't have, query the MCP server tools on the Nostr network. After finding the relevant tool, ask the user if they want to use it.

- If the user requests to use a certain tool, follow these steps:

1) Send a request to the MCP server.
2) Wait for 15 seconds.
3) Read the MCP server's response.
4) If no response is received from the MCP server within 45 seconds, repeat steps 2 and 3.
5) Complete any final steps or required localization (e.g., query the exchange rate and convert US dollars to the local currency).

4. Configure Workflow

Configure the n8n workflow according to your specific needs. You can refer to the n8n documentation to learn how to create and edit workflows.

5. Test the Agent

Before actual use, conduct thorough testing to ensure that the agent can correctly interact with the MCP server and DVM and call tools when needed.

💻 Usage Examples

Financial Data Analysis

The user requests real - time stock prices. The AI agent will obtain data by querying relevant DVMs on the Nostr network and convert it to the user's local currency.

Logistics Optimization

The user requests to plan the optimal transportation route. The AI agent will use its built - in path - planning tool or call an external service by querying the DVM to complete the task.

🐞 Error Handling and Debugging

In practical applications, you may encounter the following issues:

Network Connection Issues: Ensure that your n8n instance can access the Internet and that the Nostr nodes are running normally.
MCP Server Unavailable: If the target MCP server is offline or unresponsive, try other available servers or tools.
Credential Errors: Check that the configured credentials are correct.