Inviteup

Created By
Maksym2 months ago
Manage Telegram channel growth campaigns via MCP. Create and schedule posts (text, polls, video, AI-generated), manage referral campaigns, and control publishing workflows. Supports 14 tools for channel management, content creation, and campaign automation on the InviteUp platform.
Overview

InviteUp MCP Server

InviteUp MCP connects AI assistants to the InviteUp platform — a Telegram channel growth tool with referral campaigns, smart content scheduling.

What you can do

  • Content creation — Create text posts, polls, and video posts from supported URLs (YouTube, Facebook Reels, Instagram Reels, TikTok)
  • AI-powered posts — Generate content with AI, including text and optional images, using the SmartPost engine
  • Scheduling — Move posts between suggested and scheduled states, control your publishing calendar
  • Channel management — Add and list Telegram channels
  • Full post lifecycle — Create, edit, and remove posts across all formats (text, poll, video)

Available tools (14)

ToolDescription
get_channelsList all connected Telegram channels
add_channelConnect a new Telegram channel
get_channel_postsView all post slots (scheduled & suggested)
create_postCreate a text post
create_post_pollCreate a poll post
create_post_videoCreate a video post from URL
create_post_via_aiGenerate a post using AI
generate_full_postGenerate full AI post with optional image
edit_postEdit a text post
edit_post_pollEdit a poll post
edit_post_videoEdit a video post
move_post_to_scheduledSchedule a post for publishing
move_post_to_suggestedMove post back to suggested
remove_postDelete a post or campaign

Use cases

  • Automate content calendars for Telegram channels
  • Generate and schedule AI-driven posts at scale
  • Manage multi-channel publishing from a single AI assistant
  • Build cross-platform workflows combining InviteUp with other MCP servers

Server Config

{
  "mcpServers": {
    "inviteup": {
      "url": "https://api2.inviteup.me/mcp"
    }
  }
}
Project Info
Created At
2 months ago
Updated At
2 months ago
Author Name
Maksym
Star
-
Language
-
License
-
Category

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

2 days ago
Wpnews

21 hours ago
Docwand

2 days ago
Orkestr

21 hours ago
Linkpulse

2 days ago