Nodejs AI Agent Skills

A Model Context Protocol (MCP) server for Google Sheets API integration. Enables reading, writing, and managing Google Sheets documents directly from your MCP client (e.g., Claude Code, Claude Desktop, Cursor, etc.). - Complete Google Sheets Integration: Read, write, and manage spreadsheets - Advanced Operations: Batch operations, formatting, charts, and conditional formatting - Flexible Authentic

DO NOT GIVE ME HIGH LEVEL SHIT, IF I ASK FOR FIX OR EXPLANATION, I WANT ACTUAL CODE OR EXPLANATION!!!

You are an expert in TypeScript, Node.

Backend: Node.js with Express.js

End-to-end workflow for creating complete JavaScript concept documentation, orchestrating all skills from research to final review

Node.js and Express.js best practices for backend development

You are an expert in Solidity, TypeScript, Node.

You are an expert in TypeScript, Node.

You are an expert in TypeScript, Node.

Follow best practices, lean towards agile methodologies

A Model Control Protocol (MCP) server that bridges AI coding assistants with JetBrains TeamCity CI/CD server, exposing TeamCity operations as MCP tools. The TeamCity MCP Server allows developers using AI-powered coding assistants (Claude Code, Cursor, Windsurf) to interact with TeamCity directly from their development environment via MCP tools. - Dev Mode (default): Safe CI/CD operations (31 tools

Convert any source code repository into a searchable knowledge base with automatic chunking, embedding generation, and intelligent search capabilities. Now with MCP (Model Context Protocol) support for Claude Code and Cursor integration! 📦 Now available on npm! Install with: npm install -g @vezlo/src-to-kb After installation, you'll have access to these commands: - src-to-kb - Generate knowledge

A Model Context Protocol (MCP) server that provides access to the MongoDB Atlas API. This server wraps the mongodb-atlas-api-client package to expose MongoDB Atlas functionality through MCP tools. This MCP server exposes most of the mongodb-atlas-api-client surface as MCP tools. - userget — Get a database user by username - usergetall — List all database users - usercreate — Create a database user

An MCP (Model Context Protocol) server providing comprehensive email capabilities via IMAP and SMTP. Enables AI assistants to read, search, send, manage, schedule, and analyze emails across multiple accounts. Exposes 47 tools, 7 prompts, and 6 resources over the MCP protocol with OAuth2 support (experimental), email scheduling, calendar extraction, analytics, provider-aware label management, real-

This is a Model Context Protocol (MCP) server that provides comprehensive SQLite database interaction capabilities. - Complete CRUD operations (Create, Read, Update, Delete) - Database exploration and introspection - Execute custom SQL queries Define the command in your IDE's MCP Server settings: e.g. Cursor: e.g. VSCode: Your database path must be provided as an argument. Get detailed information

A powerful Microsoft SQL Server MCP (Model Context Protocol) server that enables Claude Desktop to interact with SQL Server databases through natural language queries. - 🤖 AI-Ready: Seamless integration with Claude Desktop and MCP protocol - 🔍 Smart Queries: Execute SQL queries in CSV or JSON format through natural language - 🔐 Secure Authentication: Support for SQL Server Auth, Windows Auth, a

Google News MCP Server A Model Context Protocol (MCP) server implementation that provides Google News search capabilities via SerpAPI integration. Automatically categorizes news results and supports multiple languages and regions. Comprehensive search capabilities including query-based search, topic search, publication filtering and story coverage. Supports multiple languages and regions through c

An MCP (Model Context Protocol) server that provides token-efficient access to OpenAPI (v3.0) and Swagger (v2.0) specifications via MCP Resource Templates. The primary goal of this project is to allow MCP clients (like Cline or Claude Desktop) to explore the structure and details of large OpenAPI specifications without needing to load the entire file into an LLM's context window. It achieves this

Backend: Node.js with Express.js