#ebook

Generate complete, professional multi-chapter eBooks with a single tool call. Scrivibe uses **Anthropic Claude** to write full-length books chapter by chapter — fiction, non-fiction, business, self-help, romance, and 70+ more genres — and delivers a downloadable **EPUB file** ready for Kindle, Apple Books, or any reader.

Control Facebook & Instagram Ads from Claude, ChatGPT, Cursor, or any MCP-compatible agent. Direct Meta Graph API v24.0 wrapper with 32 tools — no backend required, just bring your own Meta access token. Auto-batches bulk ops, pre-flight ads_volume checks, PBIA auto-provisioning, enhanced error messages.

AI-powered social media ghostwriter with 21+ tools for content creation, scheduling, and multi-platform publishing. What it does: - Generate AI content tailored to your brand voice - Schedule posts across Twitter/X, LinkedIn, Instagram, and more - Manage drafts, media library, and queue slots - Track ghost writer personas and feedback Tools include: - presence_get, presence_list — manage your social presences - draft_create, draft_update, draft_generate_ai — create and enhance content - queue_add_slot, queue_update_slot — schedule publishing times - media_upload, media_library_list — manage images and videos - ghost_writer_list, feedback_submit — AI personas and improvement feedback Transport: Streamable HTTP (MCP spec 2025-03-26) Auth: Bearer token via Authorization header Endpoint: https://feedmansion.com/mcp Docs: https://feedmansion.com/en/help/mcp-setup/ or https://github.com/makerprism/feedmansion-ai-agents

Performance marketing diagnostics MCP server for Meta Ads. 15 tools for spend leak detection, creative fatigue analysis, audience decay monitoring, benchmarking, and custom SQL queries. Read-only SQLite security by default.

An MCP service specifically developed for AI to connect and manage Jupyter Notebooks

A Model Context Protocol (MCP) server for accessing Meta (Facebook) Ads insights data with built-in support for joining with HubSpot deal data. Features Fetch ad insights with flexible filtering and breakdowns Campaign and ad set management Mobile placement tracking for revenue attribution Prepare ads data for joining with HubSpot deals Configurable access tokens via MCP configuration

Sinch provides a global, scalable, secure platform for businesses to communicate with their customers - for messaging, voice, verification and email. These communication capabilities are vital for anyone building customer-connected solutions with AI systems. The Sinch MCP server enables customers who build agentic experiences to easily use Sinch services for communication. The Sinch MCP Server provides AI Assistants such as Claude or code builder such as Cursor or agent builders such as Google, with easy access to various Sinch services including Messaging, Voice, Email, Verification and many more. Messaging channels include RCS, SMS, MMS, WhatsApp, Facebook Messenger, Instagram, Viber Business Messages, Telegram Bot, KakaoTalk, LINE, WeChat and Sinch Chat.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Facebook (beta): https://www.cdata.com/download/download.aspx?sku=RBZK-V&type=beta

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Facebook Ads (beta): https://www.cdata.com/download/download.aspx?sku=HRZK-V&type=beta

Jupyter MCP (Model Context Protocol) Server - Connect Jupyter notebooks with MCP-enabled applications

A production-ready Model Context Protocol (MCP) server that enables AI applications to seamlessly interact with Instagram Business accounts.

Kotlin/Compose Multiplatform project to show climate related emission data from

A lightweight python notebook mcp server that allows AI agents and other MCP clients to interact with python notebook files seamlessly.

This is a Model Context Protocol (MCP) server designed to allow AI agents within Cursor to interact with Jupyter Notebook (.ipynb) files. It uses the nbformat library to safely manipulate notebook structures and enforces security by restricting operations to user-defined directories. It also uses nbconvert to enable exporting notebooks to various formats like Python scripts, HTML, and more. The server handles all notebook operations through a clean API that maintains notebook integrity and prevents malformed changes.

Model Context Protocol (MCP) server designed to allow AI agents within Cursor to interact with Jupyter Notebook (.ipynb) files

chm to markdown

The Facebook Ads MCP Server offers robust Facebook Ads integration, featuring account listing, detailed retrieval of campaigns, ad sets, ads, and creatives, along with performance insights and change history logs.

Learning AI

MCP Server for AI Summarization

MCP server for Jupyter Notebooks and JupyterLab