#agi

Channel management and messaging capabilities

The JustCall Model Context Protocol (MCP) Server lets Large Language Models (LLMs) and AI agents make real-world voice calls and send SMS directly through JustCall’s APIs — securely, contextually, and programmatically. It provides a function-calling interface for conversational AI systems, enabling: 📞 AI-powered calling: Let your LLM initiate, manage, or transcribe calls using JustCall. 💬 Smart messaging: Allow your AI agent to send or respond to SMS within conversations. ⚙️ Seamless integration: Use the MCP standard to connect JustCall’s telephony capabilities with any LLM runtime or orchestration framework. In short: It gives your LLMs a voice and a phone number — turning chatbots into truly conversational agents.

Magic-API MCP Server - A Model Context Protocol server for Magic-API development

Unofficial MCP server for working with Kagi *without* API access (you'll need to be a customer). Searches and summarizes. Uses Kagi session token for easy authentication. Works well with your agent.

AI detector MCP server with industry leading accuracy rates in detecting use of AI in text and images. The Winston AI MCP server also offers a robust plagiarism checker to help maintain integrity.

A comprehensive MCP server for Kanboard project management that provides tools for managing projects, tasks, users, comments, files, and more through the Kanboard API. Key Features: Project management (create, update, delete, list projects) Task management (create, update, delete, move, search tasks) User management (create, update, delete users) Comment system (create, update, delete comments) File management (upload, download, delete files) Swimlane and column management Tag management Metadata handling Search functionality Supported Kanboard API Methods: 50+ methods covering all major Kanboard functionality Language: Go License: MIT (as shown in your LICENSE.md) Requirements: Built executable (kanboard-mcp.exe for Windows) Kanboard instance with API access API credentials (API key or username/password) This MCP server provides a complete interface to Kanboard's project management capabilities through the Model Context Protocol, making it easy to integrate Kanboard functionality into AI assistants and other MCP-compatible applications.

Agile Luminary: Bring Order to Your Vibes Product teams lose critical context every time work moves from planning to development. Stories get misinterpreted, features break, and developers rebuild what already exists because the connection between vision and code is broken. Agile Luminary is the AI-native project management tool that keeps your entire product context connected. Transform simple prompts into comprehensive documentation, user stories, and workflows that stay linked from concept to code. Never Lose Context Again Connect all your work directly to your AI IDE (Cursor, Claude, Windsurf). When developers start coding, they have instant access to related stories, requirements, and context. Your AI coding assistant knows what you're building, what already exists, and what not to break. From Vision to Velocity Start with your big picture—Vision, PRD, Epics—and let Agile Luminary intelligently break down work into manageable, connected pieces. Each story carries forward the context from your broader goals, ensuring nothing gets lost in translation. The result? Your team stays focused on high-impact work instead of piecing together fragmented information and fixing preventable mistakes.

🚀 Supercharge your WhatsApp automation driven by AI! Send messages, summarize conversations, and manage chats using natural language from your favorite AI assistant like ChatGPT, Claude, or custom AI agents. ✨ Easily integrate Wassenger WhatsApp API with any MCP-powered AI client including ChatGPT, VS Code Copilot, Claude Desktop, Cursor, Windsurf and many more! 💬 Transform how you communicate - automate responses, analyze chat patterns, and manage customer conversations at scale, manage WhatsApp chats and groups, everything through simple conversational text or voice commands with your AI assistant.

Sinch provides a global, scalable, secure platform for businesses to communicate with their customers - for messaging, voice, verification and email. These communication capabilities are vital for anyone building customer-connected solutions with AI systems. The Sinch MCP server enables customers who build agentic experiences to easily use Sinch services for communication. The Sinch MCP Server provides AI Assistants such as Claude or code builder such as Cursor or agent builders such as Google, with easy access to various Sinch services including Messaging, Voice, Email, Verification and many more. Messaging channels include RCS, SMS, MMS, WhatsApp, Facebook Messenger, Instagram, Viber Business Messages, Telegram Bot, KakaoTalk, LINE, WeChat and Sinch Chat.

MCP Server for Nagios Core.

Ollama AGI server - An MCP hub with built in registry and plug support.

unofficial zulip mcp server

AI's query engine - Platform for building AI that can answer questions over large scale federated data. - The only MCP Server you'll ever need

A modular AGI agent framework based on MCP (Multi-Context Processing), inspired by Manus, with ChatGPT-style LLM integration and task control.

Codemagic CI/CD MCP Server

Kagi search MCP server

用于与万智牌中文卡查大学院废墟(sbwsz.com)API交互的MCP服务端

A Model Context Protocol server that provides Magic: The Gathering card information fetching capabilities using the Scryfall API.

Official Magic UI MCP server.

MCP Server for SMS.ir messaging services

Official MCP server for Magic UI.

✨ MCP Server Demo

A MCP server implementation for Kagi's API using npx, so it can easily be run in n8n.

MCP Server for Messaging using ClickSend

Secure Messages Control Plane (MCP) Server - A robust platform for managing communication between AI agents

Mirror of

The most powerful Android RPA agent framework, next generation of mobile automation robots.

MCP server integration for DaVinci Resolve

🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Combines search, AI responses, content processing, and enhancement features through a single interface.

A server for managing contextual data in DICOM tools, supporting medical imaging and machine learning workflows.

MCP server for NATS messaging system using NATS CLI - enabling AI agents to interact with NATS messaging

Mirror of

A Model Context Protocol server implementation for Kagi's API