Timesheet Time Tracking

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

AI image generation using various models

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.

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

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

mcpweave는 AI 에이전트(Claude·ChatGPT 등)가 한국·아시아의 흩어진 API를 한 번에 쓰게 해주는 MCP 게이트웨이입니다. Cafe24·네이버 스마트스토어·쿠팡·11번가 등 커머스, 토스·포트원 결제, 카카오 알림톡·채널톡 메시징, KOSIS 통계·DART 재무·NTS 세무·HIRA 의료 등 공공·금융 데이터까지 50+ provider, 1,700+ tool을 제공합니다. 각 provider 자격증명은 AES-256-GCM으로 암호화 보관하며, 개인정보는 PIPA 기준으로 자동 마스킹(주민번호 무조건)하고 접근 로그를 감사용으로 남깁니다. 소상공인용 mcpweave-suite도 함께 제공합니다.

clockify-mcp exposes the Clockify time-tracking API as Model Context Protocol tools so any MCP client (Claude Desktop, Cursor, etc.) can query and manage time-tracking data in natural language. Covers 18 domains: workspaces, users, groups, clients, projects, tasks, tags, time entries, reports (detailed/summary/weekly/attendance/expense + PDF/CSV/XLSX export), shared reports, time off, holidays, expenses, approvals, custom fields, scheduling, invoices, and webhooks. 48 read tools are always available; 64 write tools are opt-in via CLOCKIFY_ACCESS_MODE (read | time-tracking | full). Auth is a single Clockify API key (X-Api-Key). Optional OpenTelemetry OTLP export for traces/metrics/logs.

GitLab API, enabling project management

One persistent tmux-backed terminal for AI agents. ssh, docker exec, and REPLs nest inside a single authenticated session (no re-auth per command). Token-reduced reads, 4-layer completion detection, and a human can co-drive via the shared tmux socket. Install: npx -y aiterm-mcp

The social media publishing API that fails loudly instead of silently. Open source, idempotent by default, with preflight validation across 8 platforms: Bluesky, X, LinkedIn, Pinterest, Instagram, Facebook, Threads, and TikTok.

Real-time ranked tech intelligence feed from Hacker News, arXiv, Dev.to, Ars Technica, Product Hunt, and more. Query the live feed by category (AI, tech, code, science, space, robotics, security), search stories by keyword, and list available sources — directly in Claude, Cursor, or any MCP-compatible agent.

MCP Advisor & Installation - Use the right MCP server for your needs

Business strategy frameworks for Claude — as MCP tools. BANT + MEDDIC lead qualification, ICP scoring, weighted pipeline forecasting, Kotler 9-element marketing audit, full IMC campaign planning. No API keys required for most tools. Open source. MIT.

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.

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.

Browser automation and web scraping

Retrieving and analyzing issues from Sentry.io

One API for Search, Crawling, and Sitemaps

FTIR spectral search and material identification. Upload instrument files (28+ formats) or peak lists, get ranked candidates with literature-backed DOI citations from 135,000+ reference spectra.

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

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Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

Playwright MCP server