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Source channel @githubtrending · Post #14793 · Jun 5

#python#agents#ai#ai_agents#llm#llms#mcp#model_context_protocol#python The Model Context Protocol (MCP) is a standard way for AI agents to connect with different tools and data sources, making it much easier to build powerful AI applications without writing custom code for each integration[2][5]. The mcp-agent framework uses MCP to let you quickly create agents that can do things like read files, fetch web pages, or manage emails, and you can combine these agents in flexible ways to handle complex tasks. This means you can focus on what you want your AI to do, while mcp-agent takes care of connecting to the right tools and managing the workflow, saving you time and effort[3][5]. https://github.com/lastmile-ai/mcp-agent

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TONlines – News

@tonlines · Post #7071 · 05/06/2025, 04:49 PM

Tribute Empowers Creators with Public API Access #Tribute#webhooks @TributeNewsEN introduces public API access keys, allowing for seamless data integration with external services. Currently, creators can utilize two webhooks for subscription management. Source: link @tonlines

NEWS 鏈新聞-ABMedia

@abmedia_news · Post #24369 · 05/05/2026, 08:03 AM

【🤖 AI人工智慧|Gemini API 推 Webhooks:Google 解決長任務輪詢痛點、Batch/Veo 可即時推送】 #Google#GeminiAPI#Webhooks Google 於 5 月 4 日上線 Gemini API Webhooks,解決長任務開發者頻繁輪詢的痛點。 該功能支援 Batch 與 Veo 2 結果主動推送,Logan Kilpatrick 稱此舉大幅優化 DevX。相較 OpenAI 專注消費端產品,Google 則選擇持續深耕開發者基建路線。 📍閱讀全文: https://abmedia.io/gemini-api-webhooks-event-driven-long-running-tasks-may-2026 📍 訂閱鏈新聞頻道:https://linktr.ee/abmedia.io