The Oracle Database MCP Toolkit — Enabling HTTPS in HTTP Streamable Mode rb.gy/5z03x5 #Java #AI #MCP #ModelContextProtocol #Security #Cybersecurity #JavaOracleDB #OracleAIDatabase26ai #Oracle

The Oracle Database MCP Toolkit — Enabling OAuth 2.0 Authentication in HTTP Streamable Mode rb.gy/dlafvh #Java #AI #MCP #ModelContextProtocol #Security #Cybersecurity #OAuth2 #JavaOracleDB #SpringBoot #OracleAIDatabase26ai #Oracle

🪟 Smartsheet plugging Copilot ChatGPT Gemini into live, permissioned work data via MCP = real AI beats model flex. Microsoft can’t spell “utility” without data access. #Windows #Microsoft #AI windowsforum.com/threads/sma… #MicrosoftCopilot #AiGovernance #ModelContextProtocol

What Is an MCP Server | Model Context Protocol Explained #MCPServer #ModelContextProtocol #AI #APIIntegration #CloudComputing #TechExplained #DeveloperTools #OpenStandard #AI Tools #TechTutorial #Integration #APIDesign #AIDevelopment #TechInnovation #ProtocolExplained

これ、後継とか無いんでしょうか？ [servers-archived/src/postgres at main · modelcontextprotocol/servers-archived](github.com/modelcontextproto…)

10/ MCP gives AI agents the ability to act. Security makes sure they act responsibly. #MCP #ModelContextProtocol #AgenticAI #AISecurity #AIGovernance #EnterpriseAI #AIArchitecture #CyberSecurity #ZeroTrust #AIFinOps

maybe it's just the way the C# SDKs in MSFT.EXT .AI the ModelContextProtocol runtimes do it that makes this so weak - but I've dealt with this issue on the MCP server side too working with tools like Claude Code that made boo-boos trying to format arguments correctly

MCP: 97M monthly downloads. 200 servers. Every tool connected. But no server for versioned agent memory. Memoria fills the gap: Git-level snapshots for any MCP-compatible agent. CoW branches, rollback, audit. Out of the box. Try it:thememoria.ai/?utm_source=tw… #MCP #ModelContextProtocol #AIAgents #AgentMemory #DevTools

#Pleo Launches Specialized AI Agents to Automate Corporate Spend Management Read More: itdigest.com/fintech/pleo-la… #AIAgents #DigitalWorker #financialmanagement #Fintech #ITDigest #ModelContextProtocol #news #Pleo #spendmanagement

Your AI agent needs enterprise-grade, always-on Postgres. Your developers need infrastructure to build agentic workflows on it. Your team needs to know what's wrong at 3am when the agent's query patterns become the incident. Three different problems - and pgEdge ships for all three.  The pgEdge Agentic AI Toolkit is the infrastructure layer for building agents on Postgres: MCP Server for secure, structured schema and data access; RAG Server for retrieval; vectorizer for automatic background embedding generation as your data changes. No separate vector database. Builds on the Postgres you already run.  The pgEdge AI DBA Workbench is the operations layer. It monitors any PostgreSQL 14 instance - Amazon RDS, Supabase, pgEdge Cloud, community Postgres - with three-tier anomaly detection: z-score baselines, pgvector similarity against historical patterns, and LLM classification for what the first two tiers can't resolve. Ellie (an optional AI agent) runs diagnostics and walks through fixes step by step. You review and approve.  The Workbench MCP server also exposes the full tool catalogue to Claude Code, Cursor, and Windsurf directly - same diagnostics, from your IDE.  For the Postgres itself: pgEdge Enterprise Postgres - same-day patches, zero-downtime major version upgrades, enterprise-grade security, and active-active multi-master replication for any topology from single-region HA to write-anywhere global.  All three are free, open source, PostgreSQL License.  Explore the Agentic AI Toolkit: 🛠️ hubs.la/Q04l9-jN0 Read Dave's Workbench walkthrough: 📖 hubs.la/Q04l9yhw0 pgEdge Enterprise Postgres: 🔗 hubs.la/Q04lbsl30 #postgresql #postgres #dba #database #mcp #modelcontextprotocol #opensource #aiagents #devtools #claudecode #cursor #highavailability

The Agent Economy just got an upgrade. SVP Chain MCP is now live on Testnet. AI agents shouldn't just think—they need to execute. By bringing Model Context Protocol natively to SVP, your Claude Desktop or Cursor setups can now navigate the blockchain completely on-chain. No crutches. Just pure, autonomous execution. 📖 Setup Guide: svpchain.gitbook.io/svpchain… 🔍 Live Network: explorer.svpchain.com/ #SVPChain #ModelContextProtocol #CryptoAI #Testnet

🚀 Session Spotlight | Sangam AI Yatra 2026 🔗 Register Now: aioug.org/sangam26 AI agents are getting smarter. The real challenge is giving them safe access to enterprise data. 💡 Why This Session Matters Everyone is talking about AI agents. Few are talking about the infrastructure required to make them useful, secure, and production-ready. At the heart of many enterprise AI initiatives lies a difficult problem: how do you allow AI agents to interact with databases without exposing systems to unnecessary risk, complexity, or fragile integrations? This session explores a powerful emerging pattern — the Model Context Protocol (MCP) Server — a purpose-built layer that enables AI agents to interact with databases through structured, secure, and context-aware interfaces. You'll see how autonomous MCP database servers can dynamically understand schemas, validate queries, summarize results, recover gracefully from errors, and dramatically simplify application development. Most importantly, you'll see it working live. 🎯 What You'll Learn ✅ How MCP provides a universal interface between AI agents and enterprise databases ✅ How AI agents can safely query databases using natural language instead of SQL ✅ Design patterns for schema-aware query generation, validation, and summarization ✅ A production-ready reference architecture for autonomous MCP database servers ✅ Practical guidance for deploying MCP-enabled AI applications in enterprise environments 👤 About the Speaker Chandan Tanwani , @tanwanichandan is Lead Architect at Knex Technology with more than 18 years of experience in Oracle databases, cloud architecture, performance optimization, and enterprise solutions. A frequent speaker across Oracle user groups worldwide, he specializes in helping organizations modernize data platforms and integrate traditional database technologies with emerging AI architectures. 🎟️ View Session Details: aioug.org/sangam26/session?i… ⏳ The future of AI isn't just better models. It's better ways for those models to interact with enterprise data. 📍 Sangam AI Yatra 2026 Bengaluru: 18 Jul 2026 Hyderabad: 19 Jul 2026 🔗 Register today: aioug.org/sangam26 #SangamAIYatra2026 #MCP #ModelContextProtocol #AgenticAI #OracleDatabase #EnterpriseAI #GenerativeAI #DatabaseArchitecture #AIOUG @Oracle @oracleugs @oracleace @OracleDevs @oracledevcomm @OracleDatabase @OracleCloud

Antes de tocar Claude Desktop, prueba el servidor aislado con MCP Inspector: npx @modelcontextprotocol/inspector python server.py Verás el esquema generado y puedes ejecutar la Tool desde el navegador, incluido el error si te falta un parámetro.

🪟 Smartsheet lets Copilot, ChatGPT, and Gemini chat through MCP = Microsoft just got drafted into a multi-assistant “governed AI” stack. Great… now my workflow has more buttons than Excel. windowsforum.com/threads/sma… #MicrosoftCopilot #EnterpriseAi #ModelContextProtocol #Smartsheet

How MCP Actually Works: How AI Agents Talk to GitHub, Slack & the World youtube.com/watch?v=ChcWRxfv… #MCP #AIAgents #ModelContextProtocol #DevTools #LLM

"How does the model know the difference between a healthy pg_stat_activity snapshot on a quiet Tuesday and a runaway transaction on a Black Friday morning?" That's the question Dave Page has been trying to answer while building the pgEdge AI DBA Workbench. The Workbench is now generally available, and Dave published a technical deep-dive on how it actually works. The architecture: four services on a shared Postgres datastore. Ellie, the AI agent inside it, is an agentic loop that drives any LLM - Claude, OpenAI, Gemini, Ollama, or anything OpenAI-compatible - through a fixed set of database-aware tool calls. The model never queries your database directly. That's not a limitation. That's the design. Anomaly detection runs three tiers: z-score baselines catch the obvious deviations cheaply. pgvector similarity search flags patterns that match previous anomalies before they cascade. LLM escalation handles only what the cheaper tiers can't classify. Metrics, baselines, and alert history are stored in Postgres tables you can SELECT from yourself. One detail for the MCP crowd: the Workbench MCP server exposes its full tool catalogue to any HTTP MCP-compatible client. Claude Code, Cursor, VS Code Copilot, and Windsurf can connect directly and run the same diagnostics from your IDE - no Ellie required. Works on any PostgreSQL 14 : Amazon RDS, Supabase, pgEdge Cloud, or community Postgres. Free, open source, PostgreSQL License. Read Dave's walkthrough: 📖 hubs.la/Q04l2R6_0 #postgresql #postgres #dba #database #mcp #modelcontextprotocol #opensource #aiagents #devtools #claudecode #cursor #newrelease #tech #technews

24 hours after launching LemmeBuyIt MCP across every major MCP registry… We crossed 2,700 MCP connections. That is insane. People are plugging AI agents directly into real-time product search across major retailers and immediately finding use cases we did not even plan for. Price comparison. Product lookup. Retailer discovery. Amazon ASIN history. Cross-retailer intelligence. All through one MCP connection. This is exactly why we built it. The old way was scraping, proxy headaches, brittle retailer integrations, and messy product data. The new way is simple: Connect your AI agent. Ask the question. Get real product data back. No API keys to manage. No scraping stack. No chaos. LemmeBuyIt MCP is live. And based on the first 24 hours… People were ready for this. Head to Lemmebuyit.com and get started today!!! #MCP #ModelContextProtocol #AIAgents #RetailTech #ProductData

@VidMob Launches Vidmob360, Introducing a Composable Creative Intelligence Layer for AI-Driven Media Ecosystems Read More: martech360.com/news/media-gr… #CreativeIntelligence #dailyworkflows #martech360 #ModelContextProtocol #news #programmaticadvertising #VidMob

You've got an AI app working on Postgres. Now what? Security hardening. Verifiable grounding. Token efficiency. Data sovereignty. These are the decisions that separate demos from production deployments. Next Thursday at 1PM ET, Mike Josephson (VP of Solutions Engineering, pgEdge) joins the PostgresWorld Webinar Series to walk through the solution that addresses each one: the pgEdge Agentic AI Toolkit, a collection of open source tools for building AI applications on any Postgres 14 . What he'll cover: 🔌 pgEdge MCP Server: full-featured MCP Server for controlled LLM access to any Postgres database, greenfield or pre-existing. Works with any MCP-compatible client. 💬 Natural Language Agents: CLI and web UI, both written in Go. Anthropic prompt caching cuts token costs by 90%. 🧩 pgEdge-vectorizer: a Postgres extension that auto-chunks your text and generates embeddings via background workers. Supports OpenAI, Voyage AI, and Ollama. 📡 pgEdge RAG Server: dedicated HTTP API for retrieval-augmented generation with hybrid search (vector BM25), token budget management, and streaming. The same stack that powers Ellie (an optional AI assistant) running live on hubs.la/Q04kYSK30. 📥 pgEdge-docloader: converts HTML, Markdown, RST, or SGML docs into Postgres-ready content. The on-ramp for your RAG pipeline. 🔍 VectorChord-bm25: BM25 ranked search for Postgres, for hybrid semantic and full-text retrieval. All pgEdge components are 100% open source under the PostgreSQL license. Your data stays in Postgres: no external vector store, no proprietary pipelines. Free to attend, or register now and get the recording later. 🎙️ hubs.la/Q04kYy2_0 #postgres #postgresql #ai #mcp #modelcontextprotocol #rag #vectorsearch #llm #opensource #pgedge #webinar #database