EMU

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

One API for Search, Crawling, and Sitemaps

GitLab API, enabling project management

MCP server for interacting with Neon Management API and databases

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

5 AI skills as MCP tools: MBTI relationship sandbox (2-20 people), fact-checking (3 methods: source-tracing, cross-reference, logic-check), deep business analysis (5-layer), game audio brief generator, weekly skill radar. All monetized via Alipay AI Pay (¥0.10-0.50/call).

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

Query verified 2026 US dental cost data from Real Dental Costs: average implant, veneer, braces and procedure prices for all 50 states and 206 cities, state-vs-state comparisons, and the composite US Dental Cost Index. Open data (CC BY 4.0, Zenodo DOIs). Every response includes the source and a reference URL. Pricing/market research, not medical advice. Data: https://realdentalcosts.com

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Browser automation and web scraping

高德地图官方 MCP Server

Persistent Adaptive Planning Intelligence - structured loop engineering for AI coding assistants, with memory that persists across sessions, tools, and teammates.

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

Official remote MCP server for Framesail AI. Create long-form (faceless YouTube) videos end to end from any MCP client: script, locked character references, storyboard, voiceover, and final video editing — with characters and style held consistent across every shot. Making long-form AI video today means 8+ tabs stitched by hand — an LLM for the script, a voice model, an image model, a video model — with characters drifting between tools and style resetting at every export. Framesail replaces the patchwork: the whole pipeline runs in one place and manages your video's context end to end. Six stages: Style (paste images, videos, or YouTube links and Framesail reverse-engineers the look, voice, and direction), Script (write it yourself or generate it in your narrative style), Reference images (auto-generated for every character, place, and prop), Voiceover (one narrator or many characters, with word-level timing), Storyboard (planned scene by scene), and Editor (captions, music, SFX, then export). No black box: you control every prompt, asset, model, and setting.