베스트 & 인기 MCP 서버
카테고리, 설치 가이드, 소스로 검색하고 비교하세요.
A Model Context Protocol (MCP) server running on ESP32 (and Nordic nRF52840 in sensor-only mode), exposing real-world sensor data and bus protocols to AI assistants and automation tooling over...
for building AI-powered applications. Production-ready SDK with enterprise features including multi-transport support, connection pooling, and .
A Slack AI assistant powered by Claude 3.5 Sonnet that combines Microsoft's enthusiasm with modern AI capabilities.
A Python-based trading assistant that connects to a Zerodha MCP server to help users manage their trading account.
A remote Model Context Protocol (MCP) server for interacting with the dev.to public API without requiring authentication.
This Streamlit application provides a user interface for connecting to MCP (Model Context Protocol) servers and interacting with them using different LLM providers (OpenAI, Anthropic, Google, Ollama).
Welcome to project! In this repository, you'll find multiple examples of setting up MCP Servers. MCP (Model Context Protocol) is a framework for AI models that enables them to store data, run tools,...
Model Context Protocol server for Qlik Sense Enterprise. Exposes Qlik's Repository (HTTP) and Engine (WebSocket) APIs as so an LLM client can discover apps, inspect data models, query data, and...
MCPyATS brings together the Model Context Protocol (MCP) and Cisco pyATS to build intelligent, distributed agents capable of automating network tasks via natural language.
This project demonstrates the integration of the Model Context Protocol (MCP) with AutoGen (AG2), showcasing a powerful pattern for building modular, tool-enabled AI agents.
Build powerful, scalable, and secure Model Context Protocol (MCP) applications with ease. MCP Plexus is a Python framework built on the robust jlowin/fastmcp (FastMCP 2.
WeMake AI delivers production-ready Model Context Protocol (MCP) servers designed for enterprise environments, with a focus on GDPR compliance, German healthcare standards, and zero-downtime...
Greetings, human! You've wisely chosen to surrender control of your computer to an army of helpful Model Context Protocol (MCP) robots.
This repository contains a basic example of how to build an AI agent using the Model Context Protocol (MCP) with an open LLM (Meta Llama 3), OpenAI or Google Gemini, and a SQLite database.
This repository demonstrates for using CrewAI with MCP (Model Context Protocol) to interact with external tools and services through a standardized protocol.
A Model Context Protocol (MCP) server that gives LLMs access to information about a candidate.
A comprehensive system for searching and analyzing German legal texts using vector embeddings and semantic search, consisting of:
A Model Context Protocol (MCP) server that provides Google Search functionality using Gemini's built-in Grounding with Google Search feature.
A WebAssembly Component Development Kit for the Model Context Protocol
Stardust is a desktop AI agent platform that combines a powerful chat interface with an extensible plugin system.
A Model Context Protocol (MCP) server for interacting with Figma designs. This server allows Claude AI to extract design information from Figma files and create or update designs using the Figma...
Enhance your GitHub Copilot experience with comprehensive instructions, prompts, chat modes, and configurations.
Model Context Protocol (MCP) server for controlled interaction with local console applications and remote SSH sessions, including output monitoring, error detection, and long-running workflows.
Today, we are moving beyond standard chatbots. In this hands-on lab, you will build a deterministic, multi-reasoning system using Google's Agent Development Kit (ADK) and the Model Context Protocol...