The best free Gantt chart maker — no signup, works offline, real-time collaboration. Its built-in MCP server lets Claude (web, Desktop, or Code) list, create, and edit your project timelines by chatting, using your own OAuth account.

Talordata MCP is a remote Model Context Protocol server for Talordata SERP API. It connects multi-engine SERP capabilities with MCP-compatible clients, giving your AI real-time web search, request history lookup, and usage analytics. Install Talordata MCP once, then let your AI tools search, compare, summarize, and monitor SERP data without writing API request code.

An MCP server for Blank Invoice Maker, the free no-signup invoice generator. Describe an invoice in plain language and it returns a link that opens the editor fully pre-filled; invoice data stays in your browser.

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.

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

Write notes to Flomo

MCP server to provide Figma layout information to AI coding agents like Cursor

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

An MCP server that provides a tool for sending transactional emails via Mailtrap

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

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

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。

The SERPHouse MCP server provides AI systems seamless, scalable access to real-time SERP data via the Model Context Protocol

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

summarize chat message

Browser automation and web scraping

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

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

Web content fetching and conversion for efficient LLM usage

A Serper MCP Server

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

One API for Search, Crawling, and Sitemaps

基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"

Secure file operations with configurable access controls

Read-only database access with schema inspection

AccInt is a local Work Model and MCP server for persistent scored agent memory, retrieval, commitments, browser/runtime observations, and outcome-based learning across coding agents.