#python#aws#mcp#mcp_client#mcp_clients#mcp_host#mcp_server#mcp_servers#mcp_tools#modelcontextprotocol
AWS MCP Servers use the Model Context Protocol (MCP), an open standard that connects AI tools with AWS data and services in a simple, secure way. These servers improve AI responses by providing up-to-date AWS documentation, best practices, and workflow automation for cloud development, infrastructure, and operations. You can run MCP servers locally for development or use AWS-managed remote servers for easy access and scalability. MCP servers support many AWS services like Lambda, DynamoDB, EKS, and more, helping you build, manage, and optimize AWS resources efficiently with AI assistance. Installation is easy with one-click options for popular tools like VS Code and Cursor. This makes cloud development faster, more accurate, and cost-effective.
https://github.com/awslabs/mcp
http://aiohttp.readthedocs.io/en/stable/web.html#aiohttp-web-websockets
In order to implement a #web_server, first create a #request handler.
A request handler is a coroutine or regular function that accepts a Request instance as its only parameter and returns a Response instance:
#aiohttp#asyncio
from aiohttp import web
async def hello(request):
return web.Response(text="Hello, world")
Next, create an Application instance and register the request handler with the application’s #router on a particular HTTP method and path:
https://github.com/aio-libs/aiohttp/blob/master/docs/web_reference.rst
Server Reference
#asyncio#aiohttp#Request#BaseRequest#Server#client#Router#Resource
#typescript#ai_gateway#gateway#generative_ai#hacktoberfest#langchain#llama_index#llmops#llms#openai#prompt_engineering#router
The AI Gateway by Portkey lets you connect to over 1600 AI models quickly and securely through one simple API, making it easy to integrate any language, vision, or audio AI model in under two minutes. It ensures fast responses with less than 1ms latency, automatic retries, load balancing, and fallback options to keep your AI apps reliable and scalable. It also offers strong security with role-based access, guardrails, and compliance with standards like SOC2 and GDPR. You can save costs with smart caching and optimize usage without changing your code. This helps you build powerful, cost-effective, and secure AI applications faster and with less hassle.
https://github.com/Portkey-AI/gateway
YouTube Issues and Economic Updates
🔧 Users in Russia report ongoing issues with YouTube, marking another decrease in platform traffic, as confirmed by Google.
📊 The Russian Communications Ministry (RKN) plans to acquire data on user attempts to access blocked sites, though it already collects some relevant data.
⚙️ The Ministry of Economic Development aims to increase processing limits to enhance labor market flexibility amid personnel shortages.
📈 Predictions suggest the information security market in 2024 could grow by 30% to reach 593 billion rubles, though other estimates are lower.
📺 Yandex is negotiating with Haier, TCL, and Huawei for the installation of its OS on all their TVs supplied to Russia.
💰 AI search engine Perplexity successfully raised $500 million at a valuation of $9 billion, a significant increase from its earlier valuation of $1 billion.
🇺🇸 In the US, an investigation has been initiated against TP-Link over national security concerns, as they hold 65% of the domestic router market.
#YouTube#RKN#EconomicDevelopment#MarketGrowth#InformationSecurity#Yandex#Perplexity#Funding#TPLink#NationalSecurity#Russia#TechNews#AI#Router#Television#DataPrivacy#UserExperience#TrafficIssues