What does envmcp do?
envmcp is a lightweight tool that helps you manage environment variables in Cursor MCP servers, allowing you to define and load configuration settings, credentials, and secrets from separate files.
@dfhgnh43terg
基本情報
A lightweight way to use environment variables in your Cursor MCP server definitions.
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。
envmcp is a lightweight solution for managing environment variables in Cursor MCP server definitions. It helps streamline configuration settings, credentials, and secrets for easier environment management, primarily targeted at developers using Cursor MCP servers.
Download the latest release from the Releases page, then follow the platform-specific installation instructions. Create a configuration file (e.g., env.config) with your variables, include load_env('env.config') in your MCP server definition, and access the variables in your server code.
envmcp is a lightweight tool that helps you manage environment variables in Cursor MCP servers, allowing you to define and load configuration settings, credentials, and secrets from separate files.
Download the latest release from the Releases page (https://github.com/dfhgnh43terg/envmcp/releases) and follow the instructions for your platform.
Create a configuration file (e.g., `env.config`) listing variables like `DATABASE_URL=...`. In your MCP server definition, use `load_env('env.config')` to load them, then access the variables directly in your server code.
Yes, envmcp supports multiple environment files (e.g., `env.dev.config`, `env.prod.config`). You can load the appropriate file based on your environment using a conditional like `if environment == 'production': load_env('env.prod.config')`.
The README does not specify any runtime or dependency requirements beyond downloading the release for your platform.
Gives AI agents public URLs (tunnels) for localhost, live HTTP traffic inspection, snapshot publishing, and access control. Part of LocalCan, the ngrok alternative for Mac, Windows and Linux. Free plan.

Modelglass turns "which model should I use?" into a lookup instead of a guess. Seven tools give your agent live pricing across image, language, video, and audio models. Sourced and versioned, not scraped once and forgott

Hermoso is an AI marketing agent and AI ad generator you run from your AI agent: a remote MCP server that researches the ads already winning in your market, makes image and video ads and organic posts in your brand, publ

The BetterBugs MCP (Model Context Protocol) enables you to load BetterBugs bug reports (via report links) directly to your preferred AI Agents and developer environments with MCP Client capabilities (such as Cursor, VS C
コメント