AI2 min read
Understanding MCP Tool Routing
Learn how MCP tool routing works to efficiently direct requests to tools and resources within open-source routing systems.
From growth-engine
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AI2 min read
Learn how MCP tool routing works to efficiently direct requests to tools and resources within open-source routing systems.
From growth-engine
Agents1 min read
AWS posts a guide on securing Model Context Protocol tools with layered checks. The article details how to configure identity verification and access control gates.
From AWS machine learning blog
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
Stanford researchers released Paper2Agent to convert papers into testable AI agents.
From MarkTechPost
AI1 min read
Google released early access to its Model Context Protocol server for smart homes. Users can now let AI agents manage their connected devices securely.
From TechCrunch AI
AI1 min read
A new WhatsApp Business MCP server lets developers use AI coding agents like Claude, Cursor, Codex, and ChatGPT to handle setup, messaging templates, testing, and troubleshooting.
From TechCrunch AI
AI1 min read
A practitioner's map of the 3 layers in a modern agent stack, with verified sources and an overlap analysis. The post Agent Harness vs Agent Framework vs MCP: Which Layer Owns the Loop, State, Tools, Permissions, and Recovery appeared fi...
From MarkTechPost
Agents1 min read
Amazon Bedrock AgentCore enables the creation of interactive MCP Apps with HTML widgets, providing a consistent experience across AI hosts like ChatGPT and Claude. This host-agnostic approach allows for seamless deployment and delivery of rich applications.
From AWS machine learning blog
Agents1 min read
The LangChain MCP protocol has been redesigned to enable stateless operation and improved scalability. This includes support for elicitation via interrupts and caching, resulting in increased reliability and reduced latency for agent tool calls.
From LangChain blog
LLMs1 min read
The new version changes execute_sql's 'rows' output from an array of arrays to an array of objects, aiding models in tracking column mappings. It now depends on mcp>=2.1.1.
From Simon Willison
Agents1 min read
Lovable is transitioning from AI app creation to enabling agent-accessible capabilities, offering a unified interface for accessing application functions through hosted MCP servers. This shift, driven by improving LLMs and user demand, is supported by a $400M Series C investment.
From Latent Space
Models1 min read
Google announces updates to Gemini API, including background tasks, remote MCP, and more. Engineers can now manage and scale agents more efficiently.
From Google AI blog
Models1 min read
Mistral AI released Connectors in Studio for building custom AI apps. Developers can now use these tools via API or SDK with all model calls.
From Mistral AI news
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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