What are the dependencies for using MCP Servers?
Python 3.12+, Poetry for dependency management, and any additional requirements specified in each MCP’s own README.
@connectwithprakash
基本情報
Repository for my MCP servers
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"great-learning-mcp": {
"command": "/path/to/python/virtualenv",
"args": [
"/path/to/mcp-servers/great_learning/great_learning_mcp.py"
]
}
}
}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。
MCP Servers is a repository containing a collection of self-contained Model Context Protocol (MCP) implementations that enhance AI assistants with custom capabilities, such as accessing external tools, data sources, and proprietary information. It is designed for developers and users who want to extend AI assistants like Claude, Cursor, or Windsurf with specialized functions.
Clone the repository, install dependencies with Poetry (Python 3.12+), and add the desired MCP’s configuration to your assistant’s MCP config file (e.g., ~/.cursor/mcp.json for Cursor). Provide the JSON with the path to a virtualenv and the MCP script’s arguments.
Python 3.12+, Poetry for dependency management, and any additional requirements specified in each MCP’s own README.
Add the configuration to your assistant’s MCP configuration file (e.g., `~/.cursor/mcp.json` for Cursor, `~/.claude.json` for Claude Code) using the JSON format shown in the README with the correct command and args.
The README lists support for Cursor, Windsurf, Claude Desktop, and Claude Code.
Create a new directory for your MCP, implement it with the MCP SDK
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