关键词 "Intelligent Distributed Systems" 的搜索结果， 共 24 条, 只显示前 480 条
Implementation of an MCP (Model Context Protocol) architecture featuring an MCP client and an MCP server. The project enables structured communication between distributed systems, supporting asynchron
Production-ready Model Context Protocol (MCP) servers in Python, Go, and Rust for VS Code integration. Enables AI systems to interact with tools via standardized interfaces.
An AI Agent with MCP Server interacts intelligently, using tools via the Model Context Protocol to perform actions based on user input.
AegnticMCP automates the creation and management of MCP servers, ensuring they are stable, adaptable, and intelligent.
SentinelCore is an advanced AI agent powered by Model Context Protocol. It can browse the web, interact with local file systems, and is designed to keep evolving with new features. Whether you're look
A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments
Fetch on steroids. Allow to retrieve content from any web pages, including those protected by Cloudflare and other security systems.
A zero-installation solution for AI agents to control remote macOS systems. Full desktop capabilities without extra software, using only built-in Screen Sharing. Works with Claude and any MCP client,
Analyze and fix any types in TypeScript with an intelligent MCP server – fast, extensible, and React-aware.
AI-powered local MCP server for terminal commands, surgical file editing, process management, and intelligent codebase exploration. FastMCP-powered, file system deep integration, unified diff patching
This repository offers MCP servers for different purposes, aiming to support developers who want to build similar systems.
Secure middleware server implementing Model Context Protocol (MCP) over SSE with JWT authentication. Enables standardized communication between AI tools and clients with dynamic tool registration, req
Asynchronous Python library for building Model Context Protocol (MCP) servers and clients over HTTP/SSE, ideal for AI agents, tool integrations, and chatbot ecosystems.
A comprehensive toolkit for installing and configuring Model Context Protocol (MCP) servers on Windows systems
File containing information about the use of artificial intelligence software development kit (SDK) on servers and clients for computer systems.
K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kuber
InterSystems IRIS MCP server
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI direct
MCP server that enables communication and coordination between different Roo modes/roles across multiple systems
A Model Context Protocol (MCP) server that enables remote command execution across different operating systems.
🔍 FastMCP-powered documentation search engine that provides unified access to multiple framework docs (Next.js, Tailwind, Framer Motion, etc.) with intelligent name resolution and async processing.
A Model Context Protocol (MCP) server that provides intelligent access to PowerPlatform/Dataverse entities and records. This tool offers context-aware assistance, entity exploration and metadata acces
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