MCP Servers

Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detec

The MCP Java SDK provides tools for Java applications to interact with AI models using the Model Context Protocol, offering standardized communication and Spring Boot integration for client and server applications.

This LinkedIn MCP server allows Claude and other AI assistants to access your LinkedIn. It can scrape LinkedIn profiles and companies, get your recommended jobs, and perform job searches.

This repository provides a quick start guide for Model Context Protocol (MCP) programming, focusing on building MCP servers with tools for large language models. It uses Python and the `uv` package manager.

This repository provides a server implementing the Model Context Protocol (MCP) with cloud browser automation capabilities using Browserbase, Puppeteer, and Stagehand, enabling LLMs to interact with web pages and external data.

**Option 1 (Focus on containers):** Containerized MCP servers. Deploy & scale MCP easily. **Option 2 (Focus on scalability):** Scalable MCP: Containerized servers for easy deployment & management.

AbletonMCP integrates Ableton Live with Claude AI via the Model Context Protocol, enabling AI-powered music production, track manipulation, and session control through two-way communication and a socket-based server.

**Concise Descriptions:** * **Browser MCP: AI-driven browser control server. Model Context Provider.** (60 chars) * **MCP server for AI browser automation. Provides model context.** (55 chars) * **AI

A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.

This repository provides an MCP server implementation, "perplexity-ask," that integrates the Sonar API, enabling Claude to perform real-time web research and engage in conversations with live web searches.

extendable code review and QA agent 🚢

The Tavily MCP server enables AI systems to interact with data sources and tools using the Model Context Protocol, providing real-time web search and data extraction capabilities through Tavily's search

ToolHive makes deploying MCP servers easy, secure and fun

A secure low code honeypot framework, leveraging LLM for System Virtualization.

AI Agent Task Manager. Converts natural language to structured dev tasks with dependency tracking and iterative refinement.