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MCP Server - Nomic AI (compatível com N8N + GitHub)

@Lindualdo

About MCP Server - Nomic AI (compatível com N8N + GitHub)

No overview available yet

Basic information

Category

Version Control

Runtime

shell

Transports

stdio

Publisher

Lindualdo

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Server - Nomic AI (compatível com N8N + GitHub)?

This project deploys the Nomic AI MCP Server, configured for use with the MCP Client node in N8N. It enables interactions with GitHub via a personal access token.

How to use MCP Server - Nomic AI (compatível com N8N + GitHub)?

Deploy the repository on Railway, add the environment variables MAGIC_API_KEY (your OpenAI, Claude, or other supported provider key) and GITHUB_PERSONAL_ACCESS_TOKEN, then set the port to 3000 and generate a domain. Use https://<your-domain>.railway.app/sse in the MCP Client node of N8N.

Key features of MCP Server - Nomic AI (compatível com N8N + GitHub)

  • Ready-made Nomic AI MCP Server for N8N integration
  • Supports GitHub interactions via personal access token
  • Deployable on Railway with SSE endpoint

Use cases of MCP Server - Nomic AI (compatível com N8N + GitHub)

  • Connecting Nomic AI agent capabilities to GitHub repositories within N8N workflows
  • Building AI-powered automation that reads or interacts with GitHub data

FAQ from MCP Server - Nomic AI (compatível com N8N + GitHub)

What environment variables are required?

You need MAGIC_API_KEY (from OpenAI, Claude, or another supported provider) and GITHUB_PERSONAL_ACCESS_TOKEN for GitHub interactions.

How do I connect this server to N8N?

Use the SSE endpoint https://<your-domain>.railway.app/sse in the MCP Client node of N8N.

What runtime or platform is required?

The server is designed to run on Railway, with port set to 3000. No other runtime details are specified in the README.

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