by TimeCyber · MCP Server · ★ 139
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MCP-X Agent 🤿 🤖 English | 中文 MCP-X is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨ Use Cases 🎯 AI Agent MCP-X good at agent and understanding various types of content through its powerful AI agents. Here's an example of food content agent: Key Features Demonstrated: 🍽️ Food Content Analysis: Detailed breakdown of dishes, ingredients, and nutritional information 🎯 Targeted Recommendations: Personalized suggestions based on user preferences 📊 Structured Output: Well-organized information with clear categorization 💬 Interactive Chat: Natural conversation flow with comprehensive responses Perfect for: Food bloggers and content creators N
| Stars | 139 |
| Forks | 33 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 74.0181555051245/100 |
| Open Issues | 5 |
| Last Updated | 2025-10-29 |
| Created | 2025-05-21 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~437k |
Looking for a MCP-X alternative? If you're comparing MCP-X with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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MCP-X is 这是一个MCP客户端，让你轻松配置各个大模型，对接各种MCP Server而开发。This is an MCP client that allows you to easily configure various large models and develop interfaces with various MCP servers.. It is categorized as a MCP Server with 139 GitHub stars.
MCP-X is primarily written in TypeScript. It covers topics such as mcp, mcp-client, mcp-server.
You can find installation instructions and usage details in the MCP-X GitHub repository at github.com/TimeCyber/MCP-X. The project has 139 stars and 33 forks, indicating an active community.
MCP-X is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to MCP-X on Agent Skills Hub include awesome-mcp-security, AgentChat, multimodal-agents-course. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.