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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. OpenAPI to MCP Server: How to Turn REST APIs Into Reliable AI Tools Without Tool Bloat

    This article explores how companies can leverage their existing REST APIs to enable AI assistants to interact with their services reliably. It focuses on methods to achieve this integration without introducing excessive tooling or complexity. The core idea is to make internal APIs accessible to AI agents in a secure and efficient manner. AI

    OpenAPI to MCP Server: How to Turn REST APIs Into Reliable AI Tools Without Tool Bloat

    IMPACT Enables AI assistants to securely interact with existing company APIs, streamlining workflows and reducing the need for custom integration code.

  2. I built pkgsite-mcp — an MCP server that gives your AI assistant live access to pkg.go.dev. Written in Go. Works with any MCP client. Try it: ``` go install git

    A developer has created pkgsite-mcp, a new server application written in Go that grants AI assistants live access to the pkg.go.dev Go package registry. This tool is compatible with any MCP client and is available for installation via `go install`. The project was inspired by the pkg.go.dev API blog post and aims to enhance AI development tools. AI

    IMPACT Enables AI assistants to directly query Go package information, potentially streamlining development workflows.

  3. Figma adds an AI assistant to its collaborative canvas

    Figma has launched a new AI assistant integrated directly into its collaborative design software. This AI agent can generate and edit designs based on natural language prompts, and automate tasks like creating design iterations. The assistant is fine-tuned on design-specific models to understand design contexts and elements, aiming to streamline the creative process for teams. AI

    Figma adds an AI assistant to its collaborative canvas

    IMPACT Enhances design workflows by automating tasks and enabling AI-assisted creation, potentially increasing productivity for design teams.