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MCP Server Finder sɣur 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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há 4 meses (13 de abr de 2025)
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Tizmilin n tuffɣa n 1.0
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.
Ugar n isiɣzaf sɣur Vu Hoang Son
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Ala ma yettwammel akken-nniḍen, agbur n usmel-agi yella ddaw n turagt Creative Commons Attribution Share-Alike v3.0 neɣ ileqman imaynuten.