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MCP Servers

A Model Context Protocol (MCP) server for the Open Library API that enables AI assistants to search for book and author information.

40ANTS-MCP is a framework for building Model Context Protocol servers in Common Lisp

A Model Context Protocol server implementation for interacting with Salesforce through its REST API using jsforce.

Run MATLAB® using AI applications with the official MATLAB MCP Server from MathWorks®. This MCP server for MATLAB supports a wide range of coding agents like Claude Code® and Visual Studio® Code.

mcpr is an R implementation of the Model Context Protocol (MCP), enabling R applications to expose capabilities (tools, resources, and prompts) to AI models through a standard JSON-RPC 2.0 interface.

Integrate QuantConnect's research environment, statistical analysis, and portfolio optimization into your AI workflows. Locally hosted, secure & capable of dramatically improving productivity

A comprehensive collection of Model Context Protocol (MCP) servers, empowering AI models with enhanced capabilities through standardized integrations.

MCP integration for Google Calendar to manage events.

Documentation • Prompt Decorators Specification

Google Ads MCP + Meta Ads MCP + GA4 in one server for Claude, ChatGPT, Cursor & n8n — 250+ tools, hosted remote MCP, OAuth login, no API keys. By Ryze AI.

Welcome to the MCP Server Workshop! In this hands-on, instructor-led workshop, you'll build a fully functional Model Context Protocol (MCP) server from scratch using Java.

Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
Agent Skills

This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).

A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.

ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...

本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程,致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍,更通过结构化整理与实践引导,深入理解“智能体”(Agent)在现代 AI 系统中的核心作用,掌握构建自主、协作、推理型 AI 应用的关键方法。

橙皮书 (Orange Book) Series · by HuaShu (花叔)