What is an MCP server?

An MCP server is a bridge that allows Claude to access external data, tools, and services using the standardized Model Context Protocol.

Does this skill support Python?

Yes, the generator provides implementation patterns and boilerplate code for both TypeScript/Node.js and Python environments.

Can I use this for database connections?

Absolutely. It includes specific patterns for integrating PostgreSQL and other databases via MCP tools and resources.

Is the generated code compatible with the official SDK?

Yes, all code patterns follow the official Model Context Protocol SDK standards to ensure maximum compatibility and stability.

MCP Server Generator

Name: MCP Server Generator
Author: Krosebrook

byKrosebrook

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Desarrollo de API

Generates and configures custom Model Context Protocol (MCP) servers to bridge external APIs, databases, and services with Claude.

Acerca de

The MCP Server Generator provides comprehensive guidance and boilerplate for developers looking to extend Claude's capabilities through the Model Context Protocol. By offering structured implementation patterns for both TypeScript and Python, it simplifies the process of creating resources, tools, and prompts that allow Claude to interact securely with external ecosystems. Whether you are building a GitHub integration, a database interface, or a custom internal tool, this skill ensures your MCP server follows industry best practices for performance, scalability, and compatibility.

Características Principales

Standardized boilerplate for TypeScript and Python MCP servers
Pre-configured patterns for API and database integrations
Support for MCP resources, tools, prompts, and sampling
Automated environment configuration for Node.js and Python
Architecture guidance for local and remote tool execution
1 GitHub stars

Casos de Uso

Connecting Claude to private enterprise databases like PostgreSQL
Building custom integrations for third-party services like GitHub or Jira
Exposing local development logs and file systems as AI-readable resources

Acerca de

Características Principales

Standardized boilerplate for TypeScript and Python MCP servers
Pre-configured patterns for API and database integrations
Support for MCP resources, tools, prompts, and sampling
Automated environment configuration for Node.js and Python
Architecture guidance for local and remote tool execution
1 GitHub stars

Casos de Uso

Connecting Claude to private enterprise databases like PostgreSQL
Building custom integrations for third-party services like GitHub or Jira
Exposing local development logs and file systems as AI-readable resources