MCP Servers
67,002 MCP servers for AI apps. Filter by category, badge and popularity.
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This tool helps you find the store offering the best price for a specific product among various chain markets in Turkey. The system fetches real-time data from different markets and returns the best price along with the corresponding store name
This repository provides an implementation of a Model Context Protocol (MCP) server for AWS S3, enabling AI models, particularly Large Language Models (LLMs), to securely interact with S3 buckets. The server offers a standardized interface to list S3 buckets, list objects within
A lightweight TypeScript middleware for MCP SDK servers that delivers analytics. Captures request metrics, performance data, and usage patterns with minimal overhead. Features real-time monitoring, configurable data collection, and detailed reporting - all with full type safety.
MCP server for Bitnovo Pay integration with AI agents. Provides cryptocurrency payment capabilities through Bitnovo Pay API. Features include payment creation, status checking, QR code generation, and webhook management with support for multiple tunnel providers (ngrok, zrok, man)
Lightweight Model Context Protocol (MCP) server that enables your LLM to validate email addresses. This tool checks email format, domain validity, and deliverability using the AbstractAPI Email Validation API. Perfect for integrating email validation into AI applications like Claude.
A minimal MCP server built with Python that exposes two example tools: one to convert a company name into a stock symbol, and another to fetch financial data from Yahoo Finance. The project focuses on learning how to build and run an MCP server—using a simple financial scenario
Calculate Human Design bodygraph charts from birth data, save people, compare charts, and analyse group dynamics — in any MCP client. Hosted remote server (Streamable HTTP, OAuth 2.0) by gethumandesign.com; free account to connect. Listed in the official MCP registry as com.gethu
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
