MCP Archives

AppWizard

May 20, 2026

Google thinks Gemini 3.5 Flash can finally make AI agents more useful

Google has rolled out its AI model, Gemini 3.5 Flash, across various platforms, claiming it outperforms its predecessor, Gemini 3.1 Pro, in key benchmarks. Gemini 3.5 Flash generates responses four times faster than competing AI systems and is designed for complex workflows and coding tasks. Google plans to introduce Gemini 3.1 Pro next month, which excels in decision-making and coding tests. The model is particularly effective for "long-horizon" tasks, aiding app development and document preparation. Google Antigravity, an agentic development platform, integrates with Gemini 3.5 Flash to manage large workloads. The company also introduced Gemini Spark, a personal AI agent for managing digital tasks, with a beta rollout for select testers. Gemini 3.5 was developed under the Frontier Safety Framework, incorporating enhanced safety measures and interpretability tools.

Tech Optimizer

May 3, 2026

ProxySQL Releases 3.0.6 And Advances AI Integration Roadmap

ProxySQL has released version 3.0.6, introducing a multi-tier strategy with three tiers: Stable, Innovative (3.1.x), and AI/MCP (4.0.x). Version 3.0.6 enhances PostgreSQL support, improves authentication mechanisms, updates Prometheus metrics, and refines macOS support. The Innovative tier features an embedded time-series database and a traffic observer. The AI/MCP tier explores native integrations for proxy-level Retrieval-Augmented Generation (RAG) and autonomous database management.

Tech Optimizer

May 1, 2026

Ghost: A Database for Our Times?

Ghost, developed by ghost.build, is an "agent-first" Postgres database platform designed for AI-related applications, allowing developers and AI agents to create, fork, inspect, query, manipulate, and delete databases easily. It is free to use and hosted on Ghost’s Cloud infrastructure, making it suitable for testing, prototyping, and disposable database environments. Users can create databases on demand, execute SQL queries, and discard them when finished, contrasting with traditional managed databases. Ghost integrates with AI tools like Codex and Claude Code, providing direct database management capabilities through its MCP server. To install Ghost, users need a supported coding agent and a GitHub account. Installation commands differ for Linux, macOS, and Windows. After installation, users can verify the Ghost MCP server and interact with it through their coding agents. Examples of using Ghost include creating a sales data database, utilizing Ghost CLI commands, and experimenting with databases through AI agents. Ghost allows for rapid database manipulation and is ideal for proofs of concept and experimentation, although caution is advised before using it for production data.

Tech Optimizer

April 30, 2026

Inside the Architecture of an MCP Server for PostgreSQL

The Model Context Protocol (MCP) serves as a standard interface between large language models (LLMs) and external systems like PostgreSQL, emphasizing the importance of control over mere connectivity. An MCP server must act as a mediation and policy layer, enforcing security boundaries and ensuring that connections default to read-only. It should validate AI-generated SQL as untrusted input, encapsulate queries within transactions, and apply execution-time controls. The server must separate query generation from execution approval to manage operational costs and enforce guardrails on query types, such as limiting the number of rows returned. Token efficiency is crucial, with design considerations for compact data representation and schema introspection. In production, connection management is vital to prevent data leakage among multiple AI agents, and observability through logging executed queries and metadata is necessary for debugging and compliance. Long-running sessions require support for paginated responses to manage context effectively. Overall, the MCP server must integrate security, query safety, token efficiency, and observability into its design from the outset.

Tech Optimizer

April 27, 2026

Why developers are betting on Postgres for AI

Organizations are intensifying the development of AI applications and agents, which rely on access to existing enterprise data to avoid inaccuracies in responses, a phenomenon known as "hallucination." Jensen Huang, CEO of Nvidia, and Phillip Merrick, co-founder of pgEdge, emphasize that structured data is essential for AI effectiveness. PostgreSQL is highlighted as a preferred database for AI applications, with 66% of respondents in the Stack Overflow 2025 Developer Survey indicating they wish to continue using it. Merrick notes PostgreSQL's advantages, including its open-source model, scalability, and ability to handle both structured and unstructured data. The pgEdge toolkit supports the entire lifecycle of AI application development, including document ingestion and vector embedding generation. PostgreSQL offers deployment flexibility and robust security features, making it suitable for critical sectors like finance and healthcare.

Winsage

April 19, 2026

Microsoft confirms AI agents are still coming to the Windows 11 taskbar as it prepares for public rollout

Microsoft is integrating AI agents into the Windows 11 taskbar, allowing users to invoke these agents, including third-party options, directly from the taskbar. This feature will be optional and not enabled by default. The AI agents, such as Microsoft 365 Researcher, can operate autonomously to perform tasks like planning, researching, and executing actions without user intervention. Users can activate these agents by hovering over the Microsoft 365 Copilot icon on the taskbar. The Microsoft 365 Researcher can conduct complex research tasks and generate reports using files from OneDrive or Microsoft 365, but it requires a Microsoft 365 subscription to access. A new feature called ‘Ask Copilot’ may enhance the search experience by allowing users to tag and trigger agents using the “@” symbol. This functionality is supported by the Model Context Protocol (MCP), which connects AI models with applications and files. Developers can integrate their agents using the Windows.UI.Shell.Tasks API. Despite earlier statements about reducing AI in Windows 11, Microsoft is adopting a more selective approach to AI integration, ensuring that the use of taskbar agents remains optional and not intrusive. The company is phasing out Copilot branding in certain applications while maintaining AI capabilities in a streamlined manner.

AppWizard

March 30, 2026

Google Unveils AppFunctions to Connect AI Agents and Android Apps

Google has introduced early beta features for Android aimed at enhancing task-centric capabilities through an "agent-first" operating system. The key component is AppFunctions, a Jetpack API that allows developers to expose self-describing capabilities within their applications for seamless interaction with AI agents while prioritizing user privacy and performance by executing tasks on-device. AppFunctions operates similarly to backend capabilities declared via MCP cloud servers but runs locally on the device. Additionally, a UI automation platform has been introduced to assist users in performing complex tasks without requiring developer input. This platform allows users to complete tasks like placing pizza orders or coordinating rideshares through the Gemini Assistant. Privacy and user control are emphasized, with all interactions designed for on-device execution and mandatory confirmations for sensitive tasks. Currently, these features are in early beta and available exclusively on the Galaxy S26 series, with plans for broader deployment in Android 17.

Tech Optimizer

March 13, 2026

New infosec products of the week: March 13, 2026

Singulr AI has launched Agent Pulse, providing runtime governance and visibility for AI agents. Terra Security introduced Terra Portal, a desktop application that accelerates vulnerability discovery in live production environments. Mend.io released System Prompt Hardening to address weaknesses in AI system prompts. OPSWAT rolled out MetaDefender Aether, an AI-driven decision engine for rapid zero-day detection at the perimeter level. Vicarius announced vIntelligence, integrating agentic intelligence and continuous validation into its security offerings. Binary Defense launched NightBeacon, an AI-enhanced security operations platform for SOCs. SOC Prime introduced DetectFlow Enterprise, shifting threat detection to the data ingestion layer for real-time identification.

Tech Optimizer

March 11, 2026

Moving AI apps from prototype to production requires enterprise-grade postgres infrastructure

By 2024, 78% of organizations are expected to utilize AI, a significant increase from previous years. However, 90% of technology leaders struggle to measure the return on investment from AI initiatives. Traditional databases are inadequate for AI applications due to limitations in features like vector similarity search and semantic retrieval. Many organizations face challenges in integrating AI applications with existing databases, particularly when migrating legacy systems to the cloud. Security and compliance are critical for AI applications in regulated industries, requiring audit trails, data encryption, and adherence to standards like HIPAA and GDPR. The absence of dedicated vendors for transitioning AI from prototyping to production is notable, with no Postgres vendor focusing solely on AI integration until recently. Anthropic's open-source Model Context Protocol (MCP) has emerged as a standard for connecting AI agents to data sources, easing integration challenges. The underlying database architecture is crucial for supporting enterprise-grade AI applications, with Postgres being a common choice. The pgEdge Agentic AI Toolkit for Postgres provides a solution for building production-ready AI applications while ensuring availability, security, and compliance.

AppWizard

February 26, 2026

Google Outlines How AI Agents Will Interact with Android Apps

Google is enhancing Android apps to align with user expectations for artificial intelligence, similar to advancements in Windows 11. Developers received a preview of this initiative, which includes a new feature called AppFunctions. This feature allows Android apps to expose public interfaces for specific functionalities, enabling seamless interaction with AI agents and system-level services. AppFunctions are analogous to the Model Context Protocol (MCP) for cloud-based AI interconnectivity and will be accessible through Google's Jetpack library and platform APIs, ensuring local interactions on devices. AppFunctions are currently in early development, with initial examples implemented in the upcoming Gemini version for the Samsung Galaxy S26 series and other Samsung devices running OneUI 8.5 and higher. Users will interact with Calendar, Notes, and Tasks using AppFunctions to streamline activities. Google is launching an early preview of AppFunctions through a beta feature in the Gemini app, available on the Galaxy S26 series and select Pixel 10 devices, allowing users to delegate tasks to AI agents by double-pressing the power button. The initial rollout will focus on apps in food delivery, grocery, and rideshare sectors in the US and Korea. AppFunctions are expected to be integrated into Android 17, with a stable release anticipated around mid-year.