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Meta Ads MCP by ScaleForge — a Model Context Protocol server that exposes Meta (Facebook/Instagram) Ads management directly through the Graph API v24.0

MCP server for local semantic retrieval over a library of ebooks, using pplx-embed-context-v1 embeddings stored in Qdrant, enabling an LLM agent like Gemma 4 to search and retrieve relevant passages for answering questions.

Query school vacation calendars for Belgium, Netherlands, and Luxembourg (2019-2028). Check vacation dates, retrieve vacation periods, and list supported regions across multiple educational zones.

An MCP server that connects to SCIM 2.0 APIs, enabling MCP clients to manage SCIM resources using natural language.

Integrates live Screeps game data into AI development workflows, providing comprehensive tools for room operations, market analysis, and user management. It enables AI agents to monitor game status and interact with the game world through the Model Context Protocol.

Script Generator MCP

全面解析Script GeneratorMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Script Generator能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Connects Claude to your self-hosted or cloud-based Seafile storage for managing libraries and files through natural language. It enables users to browse directories, read file contents, and perform file operations like moving, renaming, or searching across their private infrastructure.

Connects AI assistants like Claude to Sealmetrics analytics data, enabling natural language queries for traffic analysis, conversions, marketing performance, ROAS tracking, and funnel analysis.

A GitHub integration tool that enables MCP clients to manage pull requests through tools for creating, updating, and listing PRs with automated descriptions. It also includes a webhook server for real-time PR updates and a customizable CLI with distinct personality modes.

This MCP server connects AI agents to https://cloud.seatable.io. Read, write, search, and link rows, run SQL queries, batch upsert data, and manage file attachments and select options. Generate an AP…

The official Model Context Protocol (MCP) server for SeaTable, built and maintained by SeaTable GmbH. It lets AI agents interact with data in your bases — reading, writing, searching, linking, and querying rows through a focused set of tools. The server intentionally focuses on data operations, not schema management (creating/deleting tables or columns), keeping the tool set lean and safe for auto

Self-hosted semantic memory layer for Claude and MCP-compatible AI clients. Store notes, search by meaning not keywords, and recall relevant context automatically across sessions. Runs free on Cloudflare Workers, D1, Vectorize, and Workers AI

Provides AI coding agents with direct access to secrets management (get, set, list, delete secrets, and list environments) through the Model Context Protocol, enabling secure secret operations during development.

A MCP Proxy (Local <-> SSE) with token based authentication.

ByteDance Seedance AI video generation with text-to-video, image-to-video, multiple models (1.5 Pro/1.0 Pro/Lite), synchronized audio, and flexible resolutions up to 1080p.

Enables high-quality image generation using Bytedance's SeedDream 4.0 model via Replicate, supporting bilingual prompts and high-resolution 2K outputs. It allows users to create photorealistic portraits and images with accurate text layout through simple natural language commands.

ByteDance Seedream AI image generation and editing (style transfer, background change, virtual try-on) with multiple models, multi-resolution up to 4K, and streaming delivery.

An MCP server that enables AI agents to manage multi-marketplace e-commerce operations by connecting to the SellerChamp API. It supports inventory reporting, cross-listing analysis, order management, and bulk updates across platforms like Amazon, eBay, and Shopify.

Semantic 73b158a8

全面解析Semantic D1 MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Semantic D1 MCP能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Reduces token consumption by over 80% through intelligent file caching, returning only diffs for modified files and suppressing unchanged content. It features a suite of 12 tools for semantic search, batch reading, and efficient file editing to optimize LLM interactions with large codebases.