Turn any AI assistant into an expert prompt engineer. Ultra Prompt gives your AI a library of 1,000+ professionally written prompts for real, everyday work, writing, marketing, business, creative, coding, and more. Just describe what you're trying to do, and it finds the right template, fills in the details, and hands back a polished and ready-to-run prompt so you get expert-quality results without wasting time on writing the the best prompt yourself. It can also chain templates into multi-step workflows and save them to reuse anytime. Free to start; works in any MCP client.

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.

Read-only database access with schema inspection

summarize chat message

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

高德地图官方 MCP Server

Persistent memory API for AI agents. Store, semantically retrieve, and forget memories across sessions. Agents self-register via POST /signup — no human needed. Supports MCP natively, auth.md discovery, semantic search with vector embeddings, TTL, namespaces, and batch operations. Free during beta. Built for the agentic web.

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

Channel management and messaging capabilities

A Serper MCP Server

test

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

Verified, tier-0 regulatory data for your AI: connect Claude, ChatGPT or Cursor to 850+ official sources across 50+ jurisdictions.

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。

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"

Write notes to Flomo

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

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

Secure file operations with configurable access controls

Retrieving and analyzing issues from Sentry.io

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

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

GitLab API, enabling project management

Spimov MCP — AI video dubbing, inside your chat Spimov MCP connects the Spimov (https://spimov.com) dubbing engine to Claude and any Model Context Protocol client. Ask in plain language — "dub this YouTube short into German and upload it unlisted to my channel" — and the whole pipeline runs server-side: transcription, translation, voice synthesis, lip-sync, and publishing. What you can do - 🎬 Dub from a YouTube link or a local file — regular videos, Shorts, and YouTube Music all supported. - 🌍 17 target languages, with auto source-language detection. - 🗣️ Choose your voice engine — xtts (high-quality, default), chatterbox (emotion-aware), or elevenlabs. - ✍️ Edit before you publish — list transcript segments and fix any line's text, emotion, or speaker; only that segment is re-synthesized. - 💬 Subtitles your way — fetch SRT/VTT, burn them in, or embed soft tracks in extra languages. - 🎚️ Remix without re-dubbing — adjust the audio mix, subtitle styling, or lip-sync on a finished job. - 📺 Publish to YouTube automatically when the dub finishes. - 🔗 Get a shareable download link for the finished MP4 — works in the browser, no API key needed. Works everywhere MCP does - Claude Desktop / Claude Code (stdio) — supports local file upload. - Claude web & hosted clients — connect to the hosted Streamable HTTP server, no install required. Setup in 2 minutes — grab an API key from spimov.com, drop it into your MCP config, and start dubbing. --- 4. Launch / duyuru postu (X / LinkedIn) ▎ We just shipped Spimov MCP 🎬 ▎ ▎ Dub any video into 17 languages without leaving your AI chat. Paste a YouTube link → Claude transcribes, translates, voices, and can publish it straight to YouTube. ▎ ▎ • Local file or YouTube URL ▎ • Edit any line, re-synth just that segment ▎ • SRT/VTT, burned-in or soft subtitles ▎ • Works in Claude Desktop, Claude Code & Claude web ▎ ▎ pip install spimov-mcp → spimov.com ▎ #MCP #Claude #AIdubbing --- 5. MCP marketplace metadata (alanlar) - Name: Spimov - Category: Media / Video - Description: Dub videos into 17 languages, edit translations, generate subtitles, and publish to YouTube — from any MCP client. - Auth: API key (spk_live_…) - Homepage: https://spimov.com - Install: pip install spimov-mcp (stdio) or connect https://mcp.spimov.com/mcp (HTTP)

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.

Playwright MCP server

Self-learning memory for AI tools. Remembers user preferences and context across Claude, Cursor, and Codex — with multi-parameter forgetting and cross-tool identity.

A Model Context Protocol (MCP) server for creating, managing, and executing Bruno API testing collections. Supports both .bru and .yml (opencollection) formats with built-in security hardening. Why This MCP Server? Use this when you want an AI agent (Claude, Copilot, etc.) to create, inspect, or execute Bruno API test collections programmatically — without opening the Bruno GUI or installing the Bruno CLI. Typical use cases: AI-assisted test generation, CI pipeline integration, automated API exploration. Requires Node.js >= 18.0.0. Features: - Collection Management: Create and organize Bruno collections - Environment Configuration: Manage multiple environments (dev, staging, prod) - Request Generation: Generate request files for all HTTP methods - Authentication Support: Bearer, Basic, OAuth 2.0, API key, Digest - Test Scripts: Add pre/post request scripts and assertions - CRUD Operations: Generate complete CRUD request sets - Collection Statistics: Analyze existing collections - Dual Format Support: .bru (legacy) and .yml (opencollection YAML) with auto-detection - Collection Discovery: Discover Bruno collections from workspace with zero config - Request Modification: Partial-merge updates to existing request files - Variable Chaining: bru.setVar()/bru.getVar() for cross-request variable flow - Dependency Ordering: Topological sort for test suite execution order - Request Execution: Execute requests and run tests with structured results - Security Hardening: SSRF protection, path traversal prevention, VM sandbox for test scripts

Persistent memory API for AI agents. Store, semantically retrieve, and forget memories across sessions. Agents self-register via POST /signup — no human needed. Supports MCP natively, auth.md discovery, semantic search with vector embeddings, TTL, namespaces, and batch operations. Free during beta. Built for the agentic web.