MCP Archives

AppWizard

July 13, 2026

“Think Google Docs meets a creative sandbox like Fortnite or Minecraft”: Audiotool 3.0 turns its multiplayer online DAW into an open platform for creator-built music tools

Audiotool 3.0 has launched, introducing real-time multiplayer music creation capabilities via web browsers and tablets, with mobile applications planned. The update features NEXUS, an open-source SDK that allows users to create their own instruments, plugins, and AI tools within the Audiotool ecosystem. The platform aims to enhance collaboration by addressing issues like device discrepancies and incompatible plugins, boasting the lowest latency among online music production tools. Users can design custom instruments, effects, and applications, and the SDK supports AI integrations. Launch partners for NEXUS include Splice, Ujam, BandM8, and Fraunhofer, and Audiotool is hosting a hackathon series until August 23 to encourage innovation.

Tech Optimizer

July 10, 2026

Google Cloud: PostgreSQL community contribution updates

Google Cloud actively participates in the PostgreSQL ecosystem by supporting community-driven events and contributing to open-source initiatives. Recent key events include: - **PGConf.dev 2026**: Featured strategic discussions on logical replication and global index architecture, with a consensus to adopt a deparsing-based approach for DDL replication. Dilip Kumar presented on global indexes. - **PGConf India 2026**: Attracted over 580 participants, featuring various sessions including keynotes and technical talks by Google Cloud contributors. - **PGDay Paris & PGDay France 2026**: Matt Cornillon was involved in organizing PGDay France, with sessions led by him and Yves Colin. - **PGDay FOSDEM 2026**: Focused on AI-assisted workflows in PostgreSQL development, with a technical talk by Matt Cornillon. - **PGConf Belgium 2026**: The session was selected as supplementary material for a database exam, indicating student engagement. - **Nordic PG Day 2026**: Google participated as a Partner-level sponsor and hosted a dedicated booth. - **Swiss PGDay 2026**: Featured a demonstration on processing vectors in PostgreSQL. - **Postgres Conference 2026 San Jose**: Google sponsored the event, with Vikas Arora discussing PostgreSQL adaptations for AI workloads. Community leadership roles included: - Dilip Kumar on the Program Committee for PGConf.dev 2026 and the Paper Selection Committee for PGConf India 2026. - Matt Cornillon on the organization committee for PGDay France, and Yves Colin on the Program Committee. Acknowledgment was given to various contributors for their dedication to PostgreSQL conferences.

AppWizard

June 18, 2026

‘[It] is going to change a lot about how games are made’: Epic merges Unreal Engine 5 with Unreal Engine for Fortnite to give game devs around the world Unreal Engine 6

Epic Games unveiled developments for Unreal Engine 6 at the State of Unreal event in Chicago, highlighting its evolution from Unreal Engine 5. The new engine will incorporate features from Fortnite and UEFN (Unreal Editor for Fortnite), which allows users to create game levels easily. Unreal Engine 6 will adopt open standards for tools, code, and APIs to simplify development across industries. The anticipated release is set for 2027, with early access expected by the end of that year. Verse, a new scripting language, will be central to the gameplay programming model, while C++ will remain foundational. The Scene Graph will replace the existing gameplay framework, and artificial intelligence will play a larger role, with the UE5.8 release introducing the MCP server plugin for deploying large language models.

Tech Optimizer

June 9, 2026

Tiger Data Launches Ghost, a Purpose-Built Database Service for the Agentic Era

Tiger Data has launched Ghost, a database service designed specifically for AI agents, addressing the limitations of traditional databases in supporting AI-driven workflows. Ghost allows for isolated environments where agents can experiment without affecting shared resources, offering unlimited Postgres databases with rapid forking capabilities. It features a cost-effective per-query pricing model and includes a free tier with 100 compute hours per month and 1TB of storage. Ghost is compatible with various MCP-enabled agent harnesses and is built on Postgres, providing a familiar operational model for teams. Comprehensive documentation and deployment resources are available at tigerdata.com.

Tech Optimizer

June 2, 2026

Accelerating developer productivity in the agentic AI era with Amazon Aurora PostgreSQL

Pravin, who leads engineering for Amazon Aurora, shared an anecdote about his son and friends using AI-assisted coding tools to develop an app without needing to worry about database setup. Elizabeth from AWS Databases noted that teams can now deliver projects in days instead of months, with a broader demographic of builders, including analysts and designers. Engineers in Pravin's organization are creating agents that significantly reduce on-call work, and product managers are drafting documents more efficiently. Aurora aims to address the challenges posed by rapid development changes by adhering to three core principles: meeting developers where they work, absorbing workload variability, and growing with applications. Aurora PostgreSQL is integrated into AI coding tools, allowing developers to set up databases quickly. It features a serverless model that automatically scales to meet fluctuating demands, accommodating workloads from small projects to large-scale applications. The database supports existing tools and frameworks, ensuring compatibility and easing migration challenges. Examples of successful transitions to Aurora PostgreSQL include SurveySparrow, which achieved cost savings and improved query latency, and Netflix, which reported significant performance improvements. Aurora's flexibility allows developers to use both serverless and provisioned instances within the same cluster, optimizing operations without data migration. It also provides options for tuning performance and maintaining an up-to-date database with minimal disruption. Aurora Global Database enables applications to expand across regions without overhauling the data layer, supporting cross-region disaster recovery and low-latency reads. Companies like S&P Dow Jones Indices and DraftKings have successfully leveraged Aurora to support their growth and operational needs. Aurora PostgreSQL is designed to empower developers, facilitating innovation across various project scales.

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.