What is the Model Context Protocol (MCP)?
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.
@AIWalaBro
基本情報
概要はまだありません
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
AI MCP Servers is a curated list of awesome Model Context Protocol (MCP) servers. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. The list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.
Browse the categorized server implementations in the README (File Systems, Version Control, Databases, etc.), select the server that matches your need, then follow its individual setup instructions to integrate with supported MCP clients like Claude Desktop, Cursor, or Zed Editor.
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.
Supported clients include Claude Desktop, Zed Editor, Sourcegraph Cody, Continue, GPT Computer Assistant, LibreChat, Cursor, Enconvo, and Goose.
The README does not specify licensing or pricing; it simply curates production-ready and experimental MCP servers. Individual server repositories should be checked for licensing details.
The README does not include contribution guidelines. You would need to contact the repository maintainer directly.
Categories include File Systems, Version Control, Cloud Storage, Databases, Communication, Monitoring, Search & Web, Location Services, Marketing, Note Taking, Cloud Platforms, Workflow Automation, System Automation, Social Media, Gaming, Finance, Research & Data, AI Services, Virtualization, Development Tools, Data Visualization, and Identity.
A curated list of references for MLOps

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This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
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