model-context-protocol
6 articles tagged with model-context-protocol
Notion launches Developer Platform with custom code execution, agent orchestration, and database sync
Notion has launched a Developer Platform that allows teams to run custom code in cloud-based Workers, sync external databases, and orchestrate both internal and external AI agents. The platform, free through August, supports integration with Claude Code, Cursor, Codex, and Decagon, and uses Model Context Protocol for agent connectivity.
AWS Releases AgentCore Platform for Building Voice AI Agents with Nova 2 Sonic Integration
Amazon has released Bedrock AgentCore, a platform for building and deploying AI agents with microVM isolation for secure session handling. The platform integrates with Amazon Nova 2 Sonic, a speech-to-speech foundation model, and supports the Model Context Protocol (MCP) for connecting agents to backend services.
Amazon Bedrock AgentCore now supports stateful MCP with user input, LLM sampling, and progress streaming
Amazon has introduced stateful MCP client capabilities on Bedrock AgentCore Runtime, enabling agents to pause mid-execution for user input, request LLM-generated content, and stream real-time progress updates. The update transforms one-way tool execution into bidirectional conversations between MCP servers and clients, supporting interactive workflows previously impossible with stateless implementations.
Elgato Stream Deck 7.4 adds MCP support, letting AI assistants control your buttons
Elgato has released Stream Deck 7.4 with Model Context Protocol (MCP) support, enabling AI assistants like Claude and ChatGPT to find and activate Stream Deck actions on your behalf. Users can now trigger macros and commands via natural language requests to their connected AI tools after enabling the feature in app preferences.
AWS launches agentic AI movie assistant using Nova Sonic 2.0 and Bedrock AgentCore
Amazon Web Services unveiled an agentic AI system for streaming platforms combining Nova Sonic 2.0 (real-time speech model), Bedrock AgentCore, and the Model Context Protocol. The system delivers two core capabilities: context-aware movie recommendations based on mood and viewing history, and real-time scene analysis including actor identification and plot summaries.
Google reveals AppFunctions: Gemini's MCP-equivalent for controlling Android apps
Google has detailed AppFunctions, a system that allows Gemini to directly control and interact with Android applications, functioning similarly to Anthropic's Model Context Protocol (MCP). The capability enables AI agents to automate tasks across the Android ecosystem by providing structured access to app functionality.