How does this skill handle missing environment variables?

The skill identifies missing variables required by your MCP servers and flags them in a final report, providing guidance on where they need to be set for the servers to function.

Why use project-specific MCP settings instead of global ones?

Project-specific settings in .mcp.json ensure that context remains clean, dependencies are explicit for all team members, and different projects don't interfere with each other's reasoning tools.

What are the 'core' servers included in this skill?

The core servers are context7, which provides documentation context from Upstash, and sequential-thinking, which enhances Claude's reasoning and planning capabilities.

Can I use this skill to check status without making changes?

Yes, using the --check-only flag allows you to generate a status report of your current MCP configuration and environment variables without installing or modifying any files.

MCP Server Configurator

Name: MCP Server Configurator
Author: laurigates

bylaurigates

•

Productivity & Workflow

Automates the setup and management of project-specific Model Context Protocol (MCP) servers for enhanced AI reasoning.

The MCP Server Configurator simplifies the integration of Model Context Protocol (MCP) servers by managing configurations on a project-by-project basis within .mcp.json. It automates the detection, installation, and validation of essential servers like context7 and sequential-thinking, ensuring that your development environment provides consistent, domain-specific context to Claude while keeping dependencies explicit and shareable across teams.

Key Features

01Seamless integration with Git tracking and project standards documentation

02Automated detection and configuration of .mcp.json project files

03One-command installation of core servers like context7 and sequential-thinking

04Environment variable validation and missing credential reporting

05Interactive and automated (--fix) installation modes for project scaling

0610 GitHub stars

Use Cases

01Standardizing MCP server sets across a development team via shared configuration files

02Setting up a new project with standardized AI context and reasoning tools

03Auditing existing MCP configurations for missing environment variables or outdated settings

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add laurigates/claude-plugins configure-mcp

For use in Claude.ai and ChatGPT

Download Skill