Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2827 servers · Page 156 of 236
# Secure Remote MCP Servers using Azure API Management (Experimental)  Azure API Management acts as the [AI Gateway](https://github.com/Azure-Samples/AI-Gateway) for MCP servers. This sample…
# Freqtrade-MCP An MCP server that integrates with the [Freqtrade](https://www.freqtrade.io/) cryptocurrency trading bot via its REST API, enabling seamless AI agent interaction for automated…
# Hetzner Cloud MCP Server A Model Context Protocol (MCP) server for interacting with the Hetzner Cloud API. This server allows language models to…
# 🐉 The fast, PHP way to build MCP servers The Model Context Protocol (MCP) is a new, standardized way to provide context and…
# MCP Test Client An MCP middleware that acts as both a server (to Claude) and a client (to servers under test) for testing…
# 🚀 OneSearch MCP Server: Web Search, URL Discovery, Scraper & Content Prep A Model Context Protocol (MCP) server implementation that integrates with multiple…
# Getting Started with Remote MCP Servers using Azure Functions (.NET/C#) This repo has a collection of samples to help you easily build and…
# AWS Cost Explorer and Amazon Bedrock Model Invocation Logs MCP Server & Client An MCP server for getting AWS spend data via Cost…
# MCP Server - Oracle DB Context [English](README.md) | [中文](README-zh.md) A powerful Model Context Protocol (MCP) server that provides contextual database schema information for…
Local web search MCP server, formerly mcp-local-rag. Multi-engine deep research with on-device re-ranking. ✨ no API keys ✨
# MCP Evals A Node.js package and GitHub Action for evaluating MCP (Model Context Protocol) tool implementations using LLM-based scoring, **with built-in observability support**.…
# MCP Think Tool Server A Model Context Protocol (MCP) server implementing the "think" tool for improving Claude's complex reasoning capabilities. ## Overview This…
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.
