MCP

A Model Context Protocol (MCP) server that enables Claude Desktop (and other MCP clients) to generate images, videos, music, and audio using Fal.ai models. - Native Async API - Uses falclient.runasync() for optimal performance - Queue Support - Long-running tasks (video/music) use queue API with progress updates - Non-blocking - All operations are truly asynchronous - STDIO - Traditional Model Con

Other tools read your files. MCP AI Server understands your code. The first and only Visual Studio extension that gives AI assistants access to the C compiler (Roslyn) through the Model Context Protocol. 20 tools. 12 powered by Roslyn. Semantic understanding, not text matching. Install from Visual Studio Marketplace Or search for "MCP AI Server" in Visual Studio Extensions Manager. Click to watch

An MCP server that tracks the historical changes of Twitter usernames—frequent screen name changes in crypto projects can be a red flag for potential scam risks. - Username Change History: Query the historical usernames of a Twitter user by their current screen name (e.g., @OSINTUkraine or @Mormonger). - Prompt Support: Includes a prompt template to guide users in formulating queries. - Lightweigh

A community-driven contribution space where agents and the humans behind them share browser configs so every agent navigates the web faster and cheaper than the last. Every time an agent opens a browser, it starts from zero. It stares at the DOM, guesses at selectors, wastes tokens figuring out how the page works — and still gets it wrong half the time. This happens on every site, for every agent,

A Model Context Protocol (MCP) server that interfaces with the HackMD API, allowing LLM clients to access and interact with HackMD notes, teams, user profiles, and history data. - Get user profile information - Create, read, update, and delete notes - Manage team notes and collaborate with team members - Access reading history - List and manage teams - Dual transport support: Both HTTP and STDIO t

An MCP Server, CLI tool, and API that makes phone calls on your behalf using VoIP. Just tell Claude what you want to accomplish, and it will call and handle the conversation for you. This is essentially an MCP Server that bridges between OpenAI's Real-Time Voice API and your VoIP connection to call people on your behalf. You: "Can you call Tony's Pizza and order a large pepperoni pizza for deliver

A Model Context Protocol (MCP) server that refines your prompts using PromptArchitect's AI-powered prompt engineering. Simply pass your current prompt and get an improved version back. Works with: Claude Desktop • VS Code (Copilot) • Cursor • Windsurf • Zed • JetBrains IDEs • Continue.dev • Cline Unlike generic prompt tools, PromptArchitect understands your project context. When refining prompts,

🎨 Pixelle MCP - Omnimodal Agent Framework English | 中文 ✨ An AIGC solution based on the MCP protocol, supporting both local ComfyUI and cloud ComfyUI (RunningHub) modes, seamlessly converting workflows into MCP tools with zero code. - ✅ 2025-09-29: Added RunningHub cloud ComfyUI support, enabling workflow execution without local GPU and ComfyUI environment - ✅ 2025-09-03: Architecture refactoring

Find and use free CC0 GLB assets and game packs (three.js, Blender, Godot, Unity), or register and submit models to 3dassets.dev on the user's behalf.

A Model Context Protocol (MCP) server that provides timezone-aware date and time operations. This server addresses the common issue where AI assistants provide incorrect date information due to timezone confusion. - Accurate timezone handling - Get current time in any IANA timezone - Time conversion - Convert time between different timezones - Multiple formats - ISO 8601, localized, and human-read

Wrap any existing Echo API into MCP tools, enabling AI agents to interact with your API through Model Context Protocol. Inspired by gin-mcp but for the Echo framework. - Zero Configuration: Works with any existing Echo API - Multiple Schema Sources: Support for Swaggo, raw OpenAPI YAML/JSON, and manual schemas - Filtering: Include/exclude endpoints with wildcard patterns - MCP Compatible: Works wi

🇰🇷 한국어 | 🇺🇸 English 한국 주식 분석을 위한 MCP 서버입니다. DART(전자공시시스템)와 KRX(한국거래소) 공식 API를 통해 주가 정보와 공시 자료 기반의 AI분석이 가능합니다. - 🔍 공시검색 - 회사별, 기간별 공시 검색 - 📊 공시 데이터 - 공시보고서 원본파일 파싱한 데이터 제공 - 💼 재무제표 분석 - XBRL 기반 상세 재무 데이터 - 📈 주식 데이터 - KRX(코스피/코스닥) 일별 주가정보, 종목 기본정보 먼저 DART와 KRX의 API KEY를 발급받아야 합니다. 1. 회원가입: OPEN DART 회원가입 2. 키 신청: 인증키 신청 페이지에서 API KEY 신청 3. 키 확인: 오픈API 이용현황에서 발급된 API KEY 확인 1. 회원가입: KRX OPEN

Draft a new release. Bumps version, generates CHANGELOG.md from git history, and creates a PR.

Universal MCP server for CalDAV protocol integration. Works with any CalDAV-compatible calendar server including Yandex Calendar, Google Calendar (via CalDAV), Nextcloud, ownCloud, Apple iCloud, and others. - List available calendars - Create calendar events with reminders and attendees - Get events for today, week, or custom date range - Works with any CalDAV-compatible server (Yandex, Google, Ne

Cross-platform MCP (Model Context Protocol) server exposing LLM-accessible tools to list and kill OS processes via natural language queries. Perfect for shy ninjas who just want rogue processes gone: "Find and nuke the damn CPU glutton choking my system!" The following tools are exposed to MCP clients: - processlist: Lists running processes sorted by CPU or memory with optional name, user, status,

A Model Context Protocol (MCP) server that queries multiple Ollama models and combines their responses, providing diverse AI perspectives on a single question. This creates a "council of advisors" approach where Claude can synthesize multiple viewpoints alongside its own to provide more comprehensive answers. - Query multiple Ollama models with a single question - Assign different roles/personas t

A Model Context Protocol server implementation for ChatterBox, enabling AI agents to interact with online meetings and generate meeting summaries. The ChatterBox MCP Server provides tools for AI agents to: - Join online meetings (Zoom, Google Meet, or Microsoft Teams) - Capture transcripts and recordings - Generate meeting summaries To install chatterboxio-mcp-server for Claude Desktop automatical

This project provides a Model Context Protocol (MCP) server wrapper around the esp-rainmaker-cli Python library. It allows MCP-compatible clients (like LLMs or applications such as Cursor, Claude Desktop, and Windsurf) to interact with your ESP RainMaker devices using the official CLI. The Model Context Protocol (MCP) is a standardized framework that enables AI systems to interact with external to

ROS MCP is a MCP server designed for controlling robots in ROS environments using natural language. It supports communication via ROS topics, services, and actions, and works with any ROS message type. - Socket Server (socketserver.py): A lightweight server that runs on localhost:8765 to handle GUI-related operations. It receives instructions from the MCP server to launch tools such as Gazebo or r

An MCP server for the Rootly API that integrates seamlessly with MCP-compatible editors like Cursor, Windsurf, and Claude. Resolve production incidents in under a minute without leaving your IDE. - Python 3.12 or higher - uv package manager - Rootly API token with appropriate permissions (see below) The MCP server requires a Rootly API token. Choose the appropriate token type based on your needs:

Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test. For the best results, add the following to your custom prompt: This will ensure Cline uses this MCP server to request user feedback before marking the task as completed. Hitting Save Configuration crea

AI image enhancement for LLMs. An MCP server that lets Claude and other AI assistants enhance images using Topaz Labs AI models. Topaz Labs makes AI-powered image and video enhancement software used by photographers, filmmakers, and developers worldwide. Enhanced with the Wonder 2 model. View interactive comparison → Sign up at developer.topazlabs.com. Add to your Claude Desktop config (~/Library/

An implementation of a Model Context Protocol (MCP) for internet speed testing. It allows AI models and agents to measure, analyze, and report network performance metrics through a standardized interface. 📦 Available on PyPI: https://pypi.org/project/mcp-internet-speed-test/ 🚀 Quick Start: The Model Context Protocol (MCP) provides a standardized way for Large Language Models (LLMs) to interact w

An experimental and educational Ping-Pong server demonstrating MCP (Model Context Protocol) calls via FastAPI. - ✅ FastAPI/FastMCP backend for remote MCP calls through API endpoints or SSE - 🔄 MCP integration for command handling - 🔐 Thread-safe session management To install the dependencies, run: Start the FastAPI server with: The server will start at http://localhost:8080. Open mcp-api-client.