Advertise
MCP.so
Sign In

Hypefury MCP Server

@eugenechabanov

Repository

Basic information

Category

Other

Transports

stdio

Author

eugenechabanov

About Hypefury MCP Server

HF MCP Server

Hypefury MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "hf-mcp": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "node",
        "build/local.js"
      ]
    }
  }
}

Hypefury MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Hypefury MCP Server?

The Hypefury MCP Server is a Model Context Protocol (MCP) server that integrates with Hypefury, a social media scheduling and growth platform. It provides tools for authenticating with Hypefury and scheduling posts, enabling AI assistants to manage social media posting workflows.

How to use Hypefury MCP Server?

Clone the repository, install dependencies, create a .env file with your HF_API_KEY, then build and run locally with npm run dev:local or deploy to Smithery.ai. The server exposes two tools: auth (authenticate with Hypefury) and schedule_post (schedule a post via Hypefury).

Key features of Hypefury MCP Server

  • Authentication with the Hypefury API
  • Schedule posts on social media via Hypefury
  • Deployment-ready for Smithery.ai
  • Local testing via npm run dev:local
  • MCP Inspector support for interactive testing

Use cases of Hypefury MCP Server

  • Schedule social media posts directly from an AI assistant
  • Automate cross-platform posting workflows with Hypefury
  • Integrate Hypefury scheduling into MCP-compatible applications

Frequently asked questions

1

What are the system requirements?

Node.js 16 or higher, and npm or yarn.

2

How can I test the server locally?

Run `npm run dev:local` to start with a local testing transport, or use `npx @modelcontextprotocol/inspector node build/local.js` and open `http://localhost:5173`.

3

Can I deploy this server to production?

Yes, it is designed for deployment on Smithery.ai. Push the repository to GitHub, create a new server on Smithery, connect the repo, set `HF_API_KEY` as a secret, and deploy.

4

What tools does the server provide?

The server provides two tools: `auth` for authenticating with Hypefury and `schedule_post` for scheduling a post to be published.

Comments

More Other MCP servers

Screenpipe

screenpipe

YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context

22.0K

Klarix Intelligence Engine

Klarix

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K

DeepMark

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

Hindsight

vectorize-io

Hindsight: Agent Memory That Learns

50.4K
Advertise