Frequently Asked Questions
MCP (Model Context Protocol) is an open standard that enables AI models to securely and efficiently connect with external tools, data sources, and plugins to enhance their capabilities beyond the base AI model.
MCP allows AI agents to dynamically access and integrate external plugins and services, enabling complex task automation, real-time data retrieval, and improved creative workflows.
An MCP Server hosts plugins or tools accessible via the MCP protocol, while an MCP Client is an AI system or model that connects to these servers to request data or perform actions.
MCP Servers can provide APIs, databases, SaaS integrations, file access, knowledge bases, and specialized AI functions, allowing AI agents to extend their problem-solving capabilities.
Submit your plugin by filling out the submission form on MCP Server Hub with details like name, description, category, supported AI models, and contact info. After review, it will be listed publicly.
Yes, submitting your MCP Server or plugin to MCP Server Hub is completely free. We encourage adding backlinks to help grow the MCP ecosystem.
Yes, the MCP Server Hub allows filtering by plugin category, AI model compatibility, use cases, and more to help you find the most relevant MCP servers.
MCP Server Hub is available worldwide, allowing AI developers and users from any region to find and submit MCP servers and clients.
MCP standardizes interaction between AI agents and external systems, enabling autonomous task execution, integration with enterprise tools, and enhanced AI workflows.
MCP includes authentication and secure communication standards to ensure that data exchange between AI clients and MCP servers is safe and trusted.
Yes, MCP Servers can be deployed for both open-source and commercial applications, supporting enterprise AI solutions and custom integrations.
MCP Server Hub is regularly updated with new MCP servers, plugins, tutorials, and industry news to keep the community informed and equipped.
Yes, AI clients can connect to multiple MCP Servers simultaneously, allowing aggregation of various tools and data sources for richer AI functionality.
For support, you can visit the MCP Server Hub website or contact the support team via email at lyqtzs@gmail.com for any inquiries or technical assistance.