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Welcome to the AI Dev Tools Zoomcamp, a free course that helps you use AI tools to write better code, faster.

The AI-Cursor-Scraping-Assistant is a powerful tool that simplifies the process of generating web scrapers. It leverages Cursor AI and the Model Context Protocol (MCP) to help you extract data from various websites effortlessly. Whether you're a student, researcher, or business professional, this tool can enhance your data gathering tasks without needing deep technical knowledge.

Payments for MCPs. Pay-per-call, no subscriptions, agentready.

This project provides a powerful and flexible solution for automating web browsers using natural language commands. It combines a LangChain agent with a Selenium-based MCP server to create a system that can perform complex web automation tasks based on simple, conversational instructions. The project is designed for seamless integration with n8n, allowing you to build sophisticated automation workflows with ease. It's an ideal starting point for developers looking to leverage AI for web scraping, automated testing, and other browser-based tasks.

Tools/Resources/Prompts support authentication via TC JWT and/or M2M JWT. Providing JWT in the requests to the MCP server will result in specific listings and bahavior based on JWT access level/roles/permissions.

SmartDB is a universal database gateway that implements the Model Context Protocol (MCP) server interface. This gateway allows MCP-compatible clients to connect and explore different databases.

Apache Airflow MCP Server | Model Context Protocol | Natural Language DAG Management | Airflow API Integration

Conecta a Claude con el mundo Pokmon!
Este proyecto es un servidor MCP en Python que expone herramientas para consultar la PokAPI y brindarle a Claude (u otros clientes MCP) acceso en tiempo real a datos de Pokmon.

Enterprise-grade Model Context Protocol (MCP) server implementing the M7 IDEAL methodology for systematic, error-free development.

MCP server and agent ecosystem to orchestrate AI agents for ICN development. Everything via PRs, under policy and invariants.

This repository contains the SkyRL-based training implementation for multi-turn tool use with MCP (Model Context Protocol) servers.

An MCP (Model Context Protocol) server that subscribes to iCalendar (.ics) feeds, caches them locally, and provides tools to query calendar events.

AI MCP AI (Agent)

A remote MCP server that provides access to 4000+ security articles with advanced search capabilities, deployed on Cloudflare Workers with Containers for high-performance search.

This Model Context Protocol (MCP) server provides a bridge between Claude and Google Tasks, allowing you to manage your task lists and tasks directly through Claude.

This is a starter template for creating your own Model Context Protocol (MCP) server that works with Puch AI. It comes with ready-to-use tools for job searching and image processing.

The Coinbound MCP Server is a production-grade tool that connects AI models and development environments to live, real-time cryptocurrency market data. It acts as a reliable, cached, and rate-limited bridge to the CoinGecko API, designed for high-performance applications.

A powerful MCP-based Spec-Driven Development (SDD) toolkit that transforms any LLM into a comprehensive development agent with structured specification generation and validation capabilities.

This repository contains an MCP server (STDIO) that uses GPT-5 to create plans.

A Model Context Protocol (MCP) server that provides employee read access to the MOCO API for time tracking, project management, holiday tracking, and presence monitoring.

An MCP (Model Context Protocol) server for interacting with the Greenhouse Harvest API. This server enables AI agents to manage recruitment workflows through Greenhouse's applicant tracking system.

SchedCP is a Model Context Protocol (MCP) server that enables AI assistants to intelligently manage Linux kernel schedulers through the sched-ext framework. It provides AI-powered scheduler selection, workload profiling, and real-time performance optimization.

Converse MCP empowers developers to rapidly build Model Context Protocol Servers in Go with unprecedented ease.

Curious how to bring agentic AI to life using Python? Want to see how Semantic Kernel can orchestrate real-world AI behavior?

A complete Model Context Protocol (MCP) implementation with a client server that provides API endpoints and an MCP server that offers calculator tools. The system supports auto-reload during development and integrates LLM capabilities with MCP tool calling.

This project generates dummy sales data and provides a simple API to interact with it. It uses Docker to run a MySQL database, phpMyAdmin for database management, and a Python server for the API.

A minimal MCP (Model Context Protocol) server that provides passthrough access to Google Cloud BigQuery commands. This server uses your existing gcloud CLI authentication and provides tools for querying BigQuery table schemas, routine information, and executing BigQuery queries with safety checks.

A lightweight, real-time AIOps anomaly detection system for logs, using an Isolation Forest model. This service is designed to be deployed on Kubernetes and can stream logs from multiple sources, detect anomalies based on learned patterns, and send alerts through various channels.

This repo contains example developer MCP Servers.

This library implements the interface to the MCP9808 temperature sensor using the I2C interface.

A comprehensive guide to understanding and building Model Context Protocol (MCP) Servers for Python developers through interactive learning experiences.

Este proyecto incluye mltiples agentes inteligentes basados en OpenAI y LangChain para diferentes propsitos empresariales.

Note: This is a personal project that is ongoing.

A comprehensive evaluation platform for MCP Bench.

An MCP (Model Context Protocol) server that provides tools for working with Substrate-based blockchains.

This is a Spring Boot application that provides information about horse races. It uses Spring AI to expose tool functions for an AI agents and has REST endpoints to retrieve race information. It pulls daily racing data in JSON format stored in a GCS bucket.

A Model Context Protocol (MCP) server for controlling and automating Google Chrome browser operations using Puppeteer. This server provides tools for web automation, element interaction, and browser management.

NOTE: I made this with the help of Sonnet 4, moderate your expectations accordingly.

A Model Context Protocol (MCP) server for the Pingera monitoring service, providing seamless integration between AI models and monitoring data.

MCP SSE and STDIO

Dead simple MCP (Model Context Protocol) server for exposing your app functions to AI agents

A Rust-based orchestrator program that integrates with DeepSeek models and MCP (Model Context Protocol) servers to analyze tasks and send email reports using advanced tool-enabled AI interactions.

A Model Context Protocol (MCP) server that enables AI assistants to interact with ClickUp workspaces.

Sistema completo para consulta e anlise de deputados federais do Brasil usando MCP (Model Context Protocol) e dados abertos da Cmara dos Deputados.

Claude-AppsScript-Pro 61AIGoogle Apps Script99%10

The rise of agentic AI puts a spotlight on one thing above all: contextand thats exactly where the Model Context Protocol (MCP) helps. MCP, an open standard from Anthropic, gives models a safe, uniform way to discover and call tools; with first-class support in Claude, ChatGPT, Gemini, and Perplexity, its fast becoming the default bridge between agents and real-world APIs. Crucially, your backend does not need to be Spring Boot: a Spring Bootbased MCP server simply acts as an adapter. It uses WebClient (or any client you prefer) to call existing APIsREST, GraphQL, even gRPC/SOAP via appropriate clientsand exposes small, typed @Tool methods over SSE. In my ETSTUR internship, I built exactly this: a Spring Boot MCP adapter on top of ETSTURs existing hotel APIs that enables hotel search by common criteria (location, dates, guests, and filters.The MCP server repo can be found at the end of the document). You wrap current business logic (wherever it lives), call internal or vendor endpoints, and publish the SSE endpoint so any MCP-capable client can use them. In practice, that lets models search, fetch details, and execute actions across heterogeneous backendswithout leaking vendor-specific payloads into prompts. This guide shows how to turn existing endpoints into AI-callable tools using Spring Boot + Spring AI MCP Server (SSE) + WebClient, following a practical project structure that exposes current integrations without rewritesjust a thin adapter layer the agent can call via MCP.