
MCP Server Finder 作者: 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.
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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更多資訊
- 附加元件網址
- 版本
- 1.0
- 大小
- 32.78 KB
- 最近更新
- 21 天前 (2025年4月13日)
- 相關分類
- 授權條款
- MIT License
- 版本紀錄
新增至收藏集
1.0 版的發行公告
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.
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.
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