What is the UBOS Asset Marketplace MCP Server?

The UBOS Asset Marketplace MCP Server provides access to n8n workflows, executions, credentials, and more through the Model Context Protocol (MCP), allowing Large Language Models (LLMs) to interact with n8n instances securely.

How do I install the MCP Server?

You can install the MCP Server either from npm using the command npm install -g @illuminaresolutions/n8n-mcp-server or by cloning the repository from GitHub and building it from source.

How do I configure the MCP Server with Claude Desktop?

Open your Claude Desktop configuration file (~/Library/Application Support/Claude/claude_desktop_config.json) and add the n8n configuration with the command to run the server and environment variables for your n8n instance.

How do I configure the MCP Server with Cline (VS Code)?

Install the server, open VS Code, open the Cline extension, and configure the MCP Servers in the settings file with the command to run the server and environment variables for your n8n instance.

What do I do if I get a ‘Client not initialized’ error?

Check that your N8N_HOST and N8N_API_KEY are set correctly, ensure your n8n instance is accessible, and verify your API key permissions.

What do I do if I get a ‘License required’ error?

This error indicates that you are trying to use an Enterprise feature. Either upgrade to n8n Enterprise or use core features only.

How can I troubleshoot connection issues?

Verify that your n8n instance is running, check the URL protocol (http/https), and remove any trailing slash from N8N_HOST.

What security best practices should I follow?

Use minimal API key permissions necessary, rotate keys regularly, never commit keys to version control, use HTTPS for production, enable n8n authentication, and keep n8n updated.

Where can I find support for the MCP Server?

You can find support through GitHub Issues and the n8n Documentation.

What is MCP (Model Context Protocol)?

MCP is an open protocol that standardizes how applications provide context to LLMs, enabling secure and standardized interaction between AI models and external data sources.