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Preview of MCP Server Finder

MCP Server Finder ruma Vu Hoang Son

Lists available Model Context Protocol (MCP) servers. Modelcontextprotocol is a credit to this extension.

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MCP Server Finder Extension
This browser extension provides an easy way to discover and explore Model Context Protocol (MCP) servers. It offers a clean, categorized view of available MCP servers that can extend the capabilities of AI models like Claude.
Key Features:
Categorized Organization: Servers are grouped into Reference Servers, Official Integrations, and Community Servers
Auto-Updates: Automatically fetches the latest server list every 12 hours
New Server Indicators: Newly added servers are highlighted with an animated badge
Search Functionality: Quickly find servers by name or description
Direct Links: Click on any server to visit its GitHub repository or website
Responsive UI: Clean, modern interface with detailed server descriptions
The extension pulls data either from a local JSON file or directly from the official MCP GitHub repository, ensuring users always have access to the most current list of available MCP servers for their AI workflows.
Modelcontextprotocol(https://github.com/modelcontextprotocol) is a credit to this extension.
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1.0
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32.78 KB
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22일 전 (2025년 4월 13일)
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MIT License
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MCP Server Finder Extension
This browser extension provides an easy way to discover and explore Model Context Protocol (MCP) servers. It offers a clean, categorized view of available MCP servers that can extend the capabilities of AI models like Claude.
Key Features:
Categorized Organization: Servers are grouped into Reference Servers, Official Integrations, and Community Servers
Auto-Updates: Automatically fetches the latest server list every 12 hours
New Server Indicators: Newly added servers are highlighted with an animated badge
Search Functionality: Quickly find servers by name or description
Direct Links: Click on any server to visit its GitHub repository or website
Responsive UI: Clean, modern interface with detailed server descriptions
The extension pulls data either from a local JSON file or directly from the official MCP GitHub repository, ensuring users always have access to the most current list of available MCP servers for their AI workflows.
Ch'aqa' chik taq k'amal richin Vu Hoang Son